USC Catalogue 2022-2023 [ARCHIVED CATALOGUE] | | | The Department of Quantitative and Computational Biology offers a PhD in Computational Biology and Bioinformatics. The PhD in Computational Biology and Bioinformatics is awarded in conformity with the general requirements of the USC Graduate School. Study in the Computational Biology and Bioinformatics PhD program emphasizes original research that culminates in a doctoral dissertation. A separately published guide, available from the Department of Quantitative and Computational Biology, provides additional information on the topics listed below, along with other program policies. Application deadline: December 15 Course Requirements Students in the Computational Biology and Bioinformatics PhD program take graduate courses that cover topics from biology, computer science, mathematics, statistics and other disciplines. These courses guarantee a broad foundation in our field, and ensure students have sufficient scientific background and intellectual tools for success in research. A list of required courses can be found at the bottom of this page. Screening Procedure As per Graduate School requirements, all students in the Computational Biology and Bioinformatics PhD program undergo a screening procedure. This procedure consists of written tests taken by each cohort before the end of their first year. Advisement Each student in the Computational Biology and Bioinformatics PhD program is assigned an academic adviser from among the Department of Quantitative and Computational Biology’s faculty. This person will act as the student’s dissertation committee chair. Advisers are determined by the end of the first year based on shared research interests with the student. The primary role of the adviser is to guide the student as they work towards their dissertation. Qualifying Examination Students must pass a qualifying examination to advance to candidacy in the Computational Biology and Bioinformatics PhD program. The qualifying exam consists of a written part and an oral part. Both parts are evaluated by a faculty qualifying committee, which is formed separately for each student and is led by the student’s dissertation chair. Dissertation After advancing to candidacy, each student forms a faculty dissertation committee. Students work toward their dissertation research under the guidance of their adviser and with input from their dissertation committee. The dissertation committee meets annually to ensure appropriate degree progress. The central requirement of the doctorate is a dissertation based on the student’s original research that makes a substantial advance to scientific knowledge or technical capability in our field. Required Courses (30 units)- BISC 593 Practicum in Teaching the Biological Sciences Units: 2
- CSCI 570 Analysis of Algorithms Units: 4
- MATH 505a Applied Probability Units: 3
- MATH 541a Introduction to Mathematical Statistics Units: 3
- QBIO 502 Molecular Biology for Quantitative Scientists Units: 4
- QBIO 542 Seminar in Computational Biology Units: 1 *
- QBIO 547 Ethics and Professional Conduct in Computational Biology Units: 1
- QBIO 577 Computational Molecular Biology Laboratory Units: 2
- QBIO 578a Computational Molecular Biology Units: 3
- QBIO 578b Computational Molecular Biology Units: 3
* Students register for QBIO 542 for 5 semesters. Elective Courses (6 units)Choose a minimum of 6 units from the following courses: - BISC 502a Molecular Genetics and Biochemistry Units: 4
- BISC 502b Molecular Genetics and Biochemistry Units: 4
- BME 530 Introduction to Systems Biology Units: 4
- CSCI 521 Optimization: Theory and Algorithms Units: 3
- CSCI 559 Machine Learning I: Supervised Methods Units: 4
- CSCI 567 Machine Learning Units: 4
- CSCI 596 Scientific Computing and Visualization Units: 4
- CSCI 670x Advanced Analysis of Algorithms Units: 4
- MATH 502a Numerical Analysis Units: 3
- MATH 505b Applied Probability Units: 3
- MATH 555a Partial Differential Equations Units: 3
- MATH 565a Ordinary Differential Equations Units: 3
- PHYS 516 Methods of Computational Physics Units: 3
- PHYS 518 Thermodynamics and Statistical Mechanics Units: 3
Research and Dissertation (4 units minimum)- QBIO 794a Doctoral Dissertation Units: 2
- QBIO 794b Doctoral Dissertation Units: 2
Students may register for additional units by using QBIO 790 or the remaining QBIO 794 courses. - Computational Biology & Biomedical Informatics (PhD Program)
Computational biology and bioinformatics (CB&B) is a rapidly developing multidisciplinary field. The systematic acquisition of data made possible by genomics and proteomics technologies has created a tremendous gap between available data and their biological interpretation. Given the rate of data generation, it is well recognized that this gap will not be closed with direct individual experimentation. Computational and theoretical approaches to understanding biological systems provide an essential vehicle to help close this gap. These activities include computational modeling of biological processes, computational management of large-scale projects, database development and data mining, algorithm development, and high-performance computing, as well as statistical and mathematical analyses. - Programs of Study
- PhD - Doctor of Philosophy
- Yale Computational Biology and Bioinformatics
- Computational Biology and Bioinformatics
Mark Gerstein Director of Graduate Studies Steven Kleinstein Samantha Naziri Departmental Registrar Admission RequirementsStandardized testing requirements. GRE is not accepted. English Language RequirementTOEFL iBT or IELTS Academic is required of most applicants whose native language is not English. BBS requires a score of at least 600 on the paper version, 250 on the computer-based exam, and 100 on the internet-based exam. Please take the test no later than November and no earlier than 24 months prior to submitting your application. Use institution code 3987 when reporting your scores; you may enter any department code. You may be exempt from this requirement if you have received (or will receive) an undergraduate degree from a college or university where English is the primary language of instruction, and if you have studied in residence at that institution for at least three years. Admission InformationThe PhD program in Computational Biology and Bioinformatics participates in the Combined Program in the Biological and Biomedical Sciences (BBS) , and applicants interested in pursuing a degree in cell biology should apply to the Computational Biology and Biomedical Informatics Track within BBS. Academic InformationProgram Advising Guidelines GSAS Advising Guidelines Academic ResourcesAcademic calendar. The Graduate School's academic calendar lists important dates and deadlines related to coursework, registration, financial processes, and milestone events such as graduation. Featured Resource Registration Information and Dateshttps://registration.yale.edu/ Students must register every term in which they are enrolled in the Graduate School. Registration for a given term takes place the semester prior, and so it's important to stay on top of your academic plan. The University Registrar's Office oversees the systems that students use to register. Instructions about how to use those systems and the dates during which registration occurs can be found on their registration website. Financial InformationPhd stipend & funding. PhD students at Yale are normally fully-funded. During their programs, our students receive a twelve-month stipend to cover living expenses and a fellowship that covers the full cost of tuition and student healthcare. - PhD Student Funding Overview
- Graduate Financial Aid Office
- PhD Stipends
- Health Award
- Tuition and Fees
Alumni InsightsBelow you will find alumni placement data for our departments and programs. - Biomedical Informatics >
- Education >
- PhD Program
PhD Program in Biomedical InformaticsMake your mark: Our PhD program in biomedical informatics — the first and only one of its kind in the State University of New York system — helps you develop the sought-after skills for academic and applied research careers in our rapidly expanding field. Prepare to LeadGrowth in health-related industries, hospitals and other health care systems have spearheaded Buffalo’s recent economic renaissance. All require effective information management systems and technologies. That’s where you come into the picture and take your place — front and center. A PhD in biomedical informatics from UB prepares you to lead these organizations through complex information management challenges. With your advanced knowledge and skills, you’ll apply sophisticated tools and methods to help design new systems and applications. Best of all, thanks to our close partnerships with regional health care organizations, you don’t have to wait until you’ve earned your PhD to begin making high-level contributions to our field: You’ll forge those connections and collaborations while training with us. Specialize with the ExpertsWe offer you a broad-based curriculum in the foundations of biomedical informatics while fostering your specialized skills in one of our field’s five key areas: - 11/17/16 Bioinformatics
- 11/17/16 Biomedical Ontology
- 9/28/23 Clinical Informatics
- 11/17/16 Public Health Informatics
- 11/17/16 Sociotechnical and Human-Centered Design
As a PhD candidate, you’ll take upper-level classes in your specialty area. You’ll conduct your research with a dedicated faculty member who has the type of expertise and research portfolio you wish to develop — a dedicated mentor who will guide you through every phase of your research. The result of this tailored approach to your training? You’ll graduate from our program ideally positioned for a career at the leading edge of biomedical informatics. Access Sophisticated ResourcesHarness the data you need for your research. Stay abreast of the latest work in our field. Train with this region’s leading experts and most advanced tools. Our PhD candidates enjoy an all-access pass to UB’s state-of-the-art computational resources as well as the sophisticated initiatives led by our campus and regional partners. Among others, these resources include: - the Institute for Healthcare Informatics , a 3+HIPAA-compliant data storage and computing facility
- the UB Center for Computational Research , one of the leading academic supercomputing sites in the U.S.
- UB’s Clinical and Translational Science Institute, the regional hub of translational research
- UB’s Virtual Computing Lab, which features MATLAB, Minitab, SPSS and other research software tools
- the Ontology Research Group , a nationally recognized center for ontology and electronic health records
- the Population Health Observatory , a research, training and data center in the School of Public Health and Health Professions
- the Upstate N.Y. Practice-Based Research Network , a center for outcomes research
- HEALTHeLINK , a health information exchange
- the Health Sciences Library , which conducts a variety of training programs in bioinformatics
Co-Director, PhD Degree ProgramWerner Ceusters, MD Division Chief, Biomedical Ontology Department of Biomedical Informatics 77 Goodell street Buffalo, NY 14203 Phone: (716) 881-8971 Email: [email protected] - Open positions
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Information for prospective Ph.D. students in Computational Biology or BioinformaticsThe Ph.D. programs in Computational Biology at Johns Hopkins University span four Departments and a wide range of research topics. Our programs provide interdisciplinary training in computational and quantitative approaches to scientific problems that include questions in genomics, medicine, genome engineering, sequencing technology, molecular biology, genetics, and others. Our students are actively involved in high-profile research, and have developed very widely-used bioinformatics software systems such as Bowtie , Tophat , and Cufflinks . and the more-recent systems HISAT and Stringtie (for RNA-seq alignment and assembly) and Kraken (for metagenomic sequence analysis). The work they do with Hopkins faculty prepares them to go on to postdoctoral and tenure track faculty positions at top-ranked universities including (in recent years) Harvard, the University of Washington, Carnegie Mellon, the University of Maryland, and Brown. Students in computational biology at Hopkins can enroll in one of four different Ph.D. programs. These include Biomedical Engineering, ranked #1 in the nation; Biostatistics, also ranked #1 in the nation; Biology, ranked #6 in the nation; and the rapidly growing Computer Science Department, ranked #23 in the nation. Hopkins is also ranked #4 in the nation in Bioinformatics, a ranking that just started appearing in 2022. CCB faculty have appointments in each of these programs, and some of us maintain appointments in multiple programs. To determine which program fits your interests and background, browse the course lists below. Each program has a separate application process; please apply specifically to the departments you're interested in. Applications to multiple programs are permitted, but if you're not certain, we encourage you to contact potential faculty advisors before you apply. Wherever you apply, make it clear that your interest is Computational Biology. Sample Course Offerings for Ph.D. students in Computational BiologyDepartment of biomedical engineering, whiting school of engineering. The Johns Hopkins Department of Biomedical Engineering (BME), widely regarded as the top program of its kind in the world and ranked #1 in the nation by U.S. News , is dedicated to solving important scientific problems at the intersection of multiple disciplines and that have the potential to make a significant impact on medicine and health. At the intersection of inquiry and discovery, the department integrates biology, medicine, and engineering and draws upon the considerable strengths and talents of the Johns Hopkins Schools of Engineering and Medicine. See the BME Ph.D. program website for many details. Department of Computer Science, Whiting School of EngineeringThe faculty represent a broad spectrum of disciplines encompassing core computer science and many cross-disciplinary areas including Computational Biology and Medicine, Information Security, Machine Learning, Data Intensive Computing, Computer-Integrated Surgery, and Natural Language Processing. Ph.D. programA total of 8 courses are required, and a typical load is 3 courses per semester. See the CS Department website for details. For a look at courses that might be included in Ph.D. training, see this page , though note that it is not a comprehensive list. For the Computer Science Ph.D., 2 out of the required 8 classes can be taken outside the Department. These may include any of the courses in the BME, Biostatistics, and Biology programs listed on this page. Department of Biostatistics, Bloomberg School of Public HealthJohns Hopkins Biostatistics is the oldest department of its kind in the world and has long been considered as one of the best. In 2022, it was ranked #1 in the nation by U.S. News . All students in the Biostatistics Ph.D. program have to complete the core requirements: - A two-year sequence on biostatistical methodology (140.751-756)
- A two-year sequence on probability and the foundations and theory of statistical science (550.620-621, 140.673-674, 140.771-772);
- Principles of Epidemiology (340.601)
In addition, students in computational biology might take: - 140.776.01 Statistical Computing (3 credits)
- 140.638.01 Analysis of Biological Sequences (3 credits)
- 140.644.01 Statistica machine learning: methods, theory, and applications (4 credits)
- 140.688.01 Statistics for Genomics (3 credits)
Further courses might include 2-3 courses in Computer Science, BME, or Biology listed on this page. Department of Biology, Krieger School of Arts and SciencesThe Hopkins Biology Graduate Program, founded in 1876, is the oldest Biology graduate school in the country. People like Thomas Morgan, E. B. Wilson, Edwin Conklin and Ross Harrison, were part of the initial graduate classes when the program was first founded. Hopkins is ranked #6 in the nation in Biological Sciences by U.S. News Quantitative and computational biology are an integral part of the CMDB training program. During the first semester students attend Quantitative Biology Bootcamp, a one week intensive course in using computational tools and programming for biological data analysis. Two of our core courses - Graduate Biophysical Chemistry and Genomes and Development - each have an associated computational lab component. Ph.D. in Cell, Molecular, Developmental Biology, and Biophysics (CMDB):The CMDB core includes the following courses: - 020.607 Quantitative Biology Bootcamp
- 020.674 Graduate Biophysical Chemistry
- 020.686 Advanced Cell Biology
- 020.637 Genomes and Development
- 020.668 Advanced Molecular Biology
- 020.606 Molecular Evolution
- 020.620 Stem Cells
- 020.630 Human Genetics
- 020.640 Epigenetics & Chromosome Dynamics
- 020.650 Eukaryotic Molecular Biology
- 020.644 RNA
Students in computational biology can use their electives to take more computationally intensive courses. You have considerable flexibility to design a program of study with your Ph.D. advisor. The Center for Computational Biology at Johns Hopkins University University Catalog 2024-2025Bioinformatics (phd). Degree Requirements Course List Code | Title | Hours | Counts towards | Genomics Sciences Core Courses | 12 | | | Special Topics (Bioinformatics I) | | | | Functional Genomics | | | | Special Topics (Genomic Sciences Journal Club) | | | | Molecular Genetics | | | | Macromolecular Synthesis and Regulation | | | Professionalism and Ethics | | | Bioinformatics Core Courses | 12 | | | Special Topics (Bioinformatics II) | | | | Computational Methods for Molecular Biology | | | | Statistical Methods For Researchers II | | | | Advanced Topics in Statistics (Bioinformatics Consulting) | | | Bioinformatics PhD Courses | 8 | | | Special Topics (Genomic Sciences Journal Club) | | | | Fundamentals of Statistical Inference I | | | | Fundamentals of Statistical Inference II | | | Elective Courses | 9 | | "Elective Courses" will be determined in conjunction with the academic committee | | | Doctoral Research Courses | 32 | | "Doctoral Research Courses" will be determined in conjunction with the academic committee | | | Total Hours | 73 | | PP 810 Genomic Sciences Journal Club should be repeated four times (twice for "Genomic Sciences Core Courses" and twice for "Bioinformatics PhD Courses"). Full Professors- Jose Miguel Alonso
- Christopher M. Ashwell
- Russell J. Borski
- Matthew Breen
- Dennis T. Brown
- Ignazio Carbone
- Marie Davidian
- Robert Graham Franks
- Sujit K. Ghosh
- Amy Michele Grunden
- Jason M. Haugh
- Erich L. Kaltofen
- Robert M. Kelly
- Matthew D. Koci
- Cristina Lanzas
- Hsiao-Ching Liu
- Christian Maltecca
- Earl S. Maxwell
- Melissa Schuster Merrill
- David C. Muddiman
- Spencer V. Muse
- Charles H. Opperman
- James N. Petitte
- Robert M. Petters
- Jorge A. Piedrahita
- Brian J. Reich
- Maria C. Sagui
- Seth M. Sullivant
- Jung-Ying Tzeng
- Mladen Alan Vouk
- Ross W. Whetten
- Fred Andrew Wright
- Qiuyun Xiang
- Zhaobang Zeng
- Daowen Zhang
Associate Professors- David Lawrence Aylor
- Nicolas Buchler
- Gavin Clay Conant
- Michael B. Goshe
- Steffen Heber
- Slavko Komarnytsky
- David S. Lalush
- Terri A. Long
- Arnab Maity
- Flora Meilleur
- Dahlia M. Nielsen
- Jonathan W. Olson
- Xinxia Peng
- David Michael Reif
- Michael L. Sikes
- Charles Eugene Smith
- Lori June Unruh Snyder
Assistant Professors- Orlando Arguello-Miranda
- Hamid Ashrafi
- Christa Baker
- Louis-Marie Bobay
- Benjamin J. Callahan
- Abdulkerim Eroglu
- Rafael Felipe Guerrero Farias
- Denis Fourches
- Joseph Lee Gage
- Caitlin Heil
- Amanda Marie Hulse
- Jicai Jiang
- Xingcheng Lin
- Kurt Marsden
- David Rasmussen
- Christina Zakas
Emeritus Faculty- William Reid Atchley
- Wendy F. Boss
- Rebecca S. Boston
- James W. Brown
- Vincent L. C. Chiang
- Eugene Eisen
- Todd Robert Klaenhammer
- Jeffrey Thorne
- Wayne Tompkins
- Anastasios A. Tsiatis
- Paul L. Wollenzien
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Best Doctorates in Bioinformatics: Top PhD Programs, Career Paths, and SalariesAcquiring a PhD in Bioinformatics allows you to enjoy a smooth career journey in this interdisciplinary field. A PhD makes you stand out as an expert in the field which helps you secure high-paying positions. The best PhDs in Bioinformatics degree programs at top private and public universities can help you become a leading professional in the field. If you’re wondering how to begin pursuing a bioinformatics PhD, this guide will cover 10 of the best academic programs available, as well as the funding opportunities and admissions process of each. We’ll also explore exciting bioinformatics jobs and the top PhD in Bioinformatics salary opportunities that await graduates. Find your bootcamp matchWhat is a phd in bioinformatics. A PhD, or Doctor of Philosophy in Bioinformatics refers to an interdisciplinary, post-graduate program that integrates the real-world experience of research and applying computer technology to the analysis and management of biological data. PhD in Bioinformatics degrees teach students to organize data from multiple experiment databases, create new algorithms, and use software and mathematical modeling to interpret biological information. Advanced bioinformatics PhD students gain the knowledge, computational skills, and scientific skills necessary to apply the latest technology to biological data. In addition, they leverage different techniques to find solutions to diseases. How to Get Into a Bioinformatics PhD Program: Admission RequirementsThe admission requirements for a PhD in Bioinformatics program include a 3.0 GPA, letters of recommendation, a personal statement, a current resume, official transcripts, and a master’s degree in a relevant field. Some universities will require GRE exam scores and approval by the department. Certain universities will accept students with a bachelor’s degree in a relevant field. All international and English as a second language-speaking (ESL) students will need to submit proof of English proficiency in the form of the Test of English as a Foreign Language (TOEFL) exam scores or an equivalent proficiency exam. Admission processes will vary by school, so you should carefully examine the school’s requirements before submitting your application. PhD in Bioinformatics Admission Requirements- 3.0 minimum GPA
- Letters of recommendation
- Relevant master’s or bachelor’s degree
- Official transcripts
- GRE exam scores, depending on school
- Updated resume
- TOEFL exam or equivalent for international and ESL students
Bioinformatics PhD Acceptance Rates: How Hard Is It to Get Into a PhD Program in Bioinformatics?It can be very hard to get into a PhD program in Bioinformatics because it is a highly specialized field that often requires real-world experience. Depending on the university you apply to, you will encounter different acceptance rates. You can learn how competitive the program is by searching for acceptance or admission rates on the program’s website. Nevertheless, if you’re an outstanding student who achieved exceptional grades in a relevant master’s or bachelor’s program, you can be sure it will be easy to find an opportunity for acceptance in most universities. How to Get Into the Best Universities[query_class_embed] how-to-get-into-*school Best PhDs in Bioinformatics: In Brief School | Program | Online Option | Colorado State University | PhD in Biological Science | No | Columbia University | PhD in Biomedical Informatics | No | Cornell University | PhD in Computational Biology | No | Johns Hopkins University | PhD in Pathobiology | No | Northern Arizona University | PhD in Informatics and Computing | No | University of Arizona | PhD in Biostatistics | No | University of California, LA | PhD in Bioinformatics | No | University of Illinois, Chicago | PhD in Bioinformatics | No | University of Miami | PhD in Biomedical Engineering | No | The University of Utah | PhD in Molecular Biology | No | Best Universities for Bioinformatics PhDs: Where to Get a PhD in BioinformaticsThe best universities for bioinformatics PhDs include the University of Utah, John Hopkins University, the University of California, Cornell University, Columbia University, and the University of Miami. If you’re looking for a top university with graduate bioinformatics degree programs, read below for details on each of the best programs available. Colorado State University is a public academic institution founded in 1870. Located just under two hours from Denver, CSU has eight colleges that provide numerous graduate programs to over 3,500 graduate and doctoral students. PhD in Biological ScienceStudents of this biological science program will learn basic and applied biological research and have the choice of specializing in bioinformatics. To complete this 72-credit program, you will need the BZ 779 Dissertation, which has a minimum of 32 credits. Prospective students should contact the department advising faculty to match with an advisor for successful admission. PhD in Biological Science Overview- Program Length : 5 years
- Acceptance Rate : N/A
- Tuition and Fees : $601.90/credit (in state); $1,475.80/credit (out of state)
- PhD Funding Opportunities : Graduate assistantships, Marshall and Rhodes grants, and the Martin Luther King, Jr. Graduate Scholarship
PhD in Biological Science Admission Requirements- Master's or bachelor’s degree in a relevant field
- Three letters of recommendation
- Statement of purpose
- Approval by the admission board
Founded in 1754 by King George II, Columbia University was initially known as King's College. It is the oldest higher learning institute in New York and the fifth oldest in the US. The private university offers numerous PhD programs , including programs in art history, astronomy, chemical physics, and biological sciences. PhD in Biomedical InformaticsColumbia University's bioinformatics PhD program concentrates on courses such as clinical informatics, bioinformatics, public health informatics, and clinical research informatics. The degree requirements include 60 credit units in coursework, two specialization courses, an ethics unit, a research seminar, and two classes of teaching assistant work. - Acceptance Rate : 5 - 7%
- Tuition and Fees : $25,248/semester
- PhD Funding Opportunities : Graduate assistantships, fellowships, and National Library of Medicine funding
- GRE exam scores
- Bachelor's or master’s degree in a relevant field
- Writing supplement
- Personal statement
Cornell University is a private research university founded in 1865 by Ezra Cornell and Andrew Dickinson White. Cornell offers numerous fully-funded PhD degrees, including programs in management, animal science, applied mathematics, molecular and cell biology, and astronomy and space sciences. PhD in Computational BiologyThis PhD in Computational Biology program blends mathematics, technology, and biology to train students to produce computational models of biological and genomic data. Students of this interdisciplinary program are taught and advised by faculty from 16 different fields and explore topics such as neuroscience, protein structure and databases, and biomechanics. PhD in Computational Biology Overview- Program Length : 5 - 6 years
- Acceptance Rate : 5 - 10%
- Tuition and Fees : $20,800/year
- PhD Funding Opportunities : Graduate assistantships, research assistantships, and fellowships
PhD in Computational Biology Admission Requirements- Official transcripts
- Master’s degree
- Two to three letters of recommendation
- GRE exam scores (optional but encouraged)
- Application fee
John Hopkins University is a private research university named after its initial benefactor, John Hopkins. Founded in 1876, it was the first research university to be established in the United States. Some of the most renowned and highly-ranked doctoral programs at John Hopkins include medicine, biological sciences, biostatistics, and public health. PhD in PathobiologyThis PhD in Pathobiology program provides an active learning, evidence-based approach to pathobiology. Enrolled students are fully funded, with average costs of over $98,000 per student covered by the university. At the end of the program, students will be prepared for academic, teaching, research, and biotechnology positions to find solutions to various diseases. PhD in Pathobiology Overview- Program Length : 5.5 years
- Acceptance Rate : 9%
- Tuition and Fees : No fees
- PhD Funding Opportunities : Fully funded by Johns Hopkins with a $34,910 yearly stipend
PhD in Pathobiology Admission Requirements- Current resume
- Bachelor’s or master’s degree
- GRE scores (optional)
Northern Arizona University is a public research university founded in 1899. NAU offers over 100 doctoral programs and enrolls over 4,500 graduate students. The school is ranked 57th on the list of the most innovative schools in the United States by US News & World Report. PhD in Informatics and ComputingPhD students enrolled in this program have the choice of specializing in Bioengineering Informatics, Cyber and Software Systems, Ecological and Environmental Informatics, or Health and Bioinformatics. Degree requirements include research, preparing and defending a dissertation, comprehensive exams, and completing 60 to 109 credit units of graduate courses. PhD in Informatics Overview- Tuition and Fees : $12,250/year (in state); $28,240/year (out of state)
- PhD Funding Opportunities : CEIAS Scholarship, VMWare Scholarship, employee tuition reduction, and graduate assistantships and tuition waivers
PhD in Informatics Admission Requirements- Personal statement or essay
- Relevant expertise in informatics
The University of Arizona is a public research university founded in 1885 by the Arizona Territorial Legislature. It was the first higher learning institution in the state. As a member of the Association of American Universities and the Universities Research Association, UA offers numerous top-quality doctoral degree programs. Top PhD programs include audiology, education, natural sciences, nursing, and musical arts. PhD in BiostatisticsUA's biostatistics PhD program covers topics such as bioinstrumentation, molecular biophysics, interfacial biosystems engineering, polymeric science and engineering, and neural and neuromuscular prostheses. To get a PhD degree in this specialization, students must complete 74 credits of coursework, a dissertation, and qualifying examinations. PhD in Biostatistics Overview- Program Length : 6 to 7 years
- Acceptance Rate : 81.82%
- Tuition : $13,400/year (in state); $33,600/year (out of state)
- PhD Funding Opportunities : Graduate scholarships and assistantships, Named scholarships, and the Western Regional Graduate Program
PhD in Biostatistics Admission Requirements- Master’s Degree in Statistics, Biostatistics, or a relevant field
- 3.2 minimum GPA
- Statement of purpose, writing sample, and a mission and values statement
- Documented experience in computer programming (C++, Java, Python, or R programming languages) highly recommended
The University of California, Los Angeles (UCLA) was founded in 1882 as a teacher's college. Today, UCLA provides over 120 graduate programs to 6,000 newly admitted graduate students per year. Numerous graduate programs at UCLA are repeatedly ranked among the top programs in the world. PhD in BioinformaticsStudents in this program will enjoy research, training, and collaboration opportunities with some of the most expert faculty and professionals in the world of bioinformatics. Students have access to one of the largest computer grids in the US to explore topics like human genome evolution, population genetics, and computational methods to analyze epigenomic data. - Acceptance Rate : 28%
- Tuition and Fees : $17,756/year (in state); $32,858/year (out of state)
- PhD Funding Opportunities : Graduate assistantships, training grants, GEM Fellowship, UC HBCU Initiative, Dissertation Year Fellowship, and graduate student researcher positions
- Current Resume
- GRE exam scores (optional)
The University of Ilinois at Chicago was established in 1965 and enrolls over 33,000 students. Located on the West Side of Chicago, UIC is Chicago’s only public research university and is recognized for its cultural diversity. UIC’s graduate school departments offer 61 different doctoral programs to students in a wide range of fields. Core topics of this 108-credit program include machine learning, the principles of bioinformatics, and statistical mechanics in biological systems. Students of this program will complete and defend a dissertation, pass preliminary and qualifying exams, and complete at least two research seminars before graduation to obtain the PhD. "Career Karma entered my life when I needed it most and quickly helped me match with a bootcamp. Two months after graduating, I found my dream job that aligned with my values and goals in life!" Venus, Software Engineer at Rockbot PhD in Bioinformatics Overview- Program Length : N/A
- Tuition and Fees : $5,935/semester (in state); $12,369/semester (out of state)
- PhD Funding Opportunities : Teaching assistantships, research assistantships, tuition waivers, and fellowships
- Bachelor’s or Master’s Degree in Physics, Mathematics, Science, or a related field
- Personal Statement
The University of Miami is a private research university established in South Florida in 1925. The university enrolls over 17,000 students in over 12 schools and colleges. It is known for its extensive undergraduate and doctoral programs in marine science, psychology, education, engineering, and medicine. PhD in Biomedical EngineeringThe University of Miami takes biomedical engineering PhD students through key topics such as neurophysiology, cellular and molecular biology, and anatomy. Students of this 60-credit program are required to complete and defend a dissertation, pass oral qualifying exams, and publish at least two pieces of research. Graduates will be prepared for careers in academic or independent research in biomedical engineering. PhD in Biomedical Engineering Overview- Tuition and Fees : $19,917/semester
- PhD Funding Opportunities : UM Fellowship, Maytag Fellowship, and Dean’s Fellowship
PhD in Biomedical Engineering Admission Requirements- Master's Degree in Biomedical Engineering or highly qualified candidates with a bachelor’s degree in a related scientific field
The University of Utah was founded in 1850 as the University of Deseret. It now hosts over 8,000 graduate students in more than 100 master’s and doctoral programs. The University of Utah has become a leader in the world of biomedical informatics since its program’s founding in 1964. Students in this program will cover the fundamentals of informatics and explore core coursework topics including translational informatics, grant writing, healthcare informatics, and statistics for biomedicine. The program is fully funded by the university and students will have the option of specializing in an informatics field of choice. PhD in Biomedical Informatics Overview- Program Length : 3 to 4 years
- PhD Funding Opportunities : Program fully funded by the University of Utah with a $29,710 yearly stipend
PhD in Biomedical Informatics Admission Requirements- 3.0 Minimum GPA
- Approval by the department administration standards
Can You Get a PhD in Bioinformatics Online?Yes, you can get a PhD in Bioinformatics online. Since the research work is computational, you can obtain your doctoral degree remotely as long as you fulfill all of the graduation requirements. However, you may have to apply to universities or colleges outside of your state to access online bioinformatics PhD programs. Best Online PhD Programs in Bioinformatics School | Program | Length | Bircham International University | PhD in Bioinformatics | 2 years | George Mason University | PhD in Bioinformatics and Computational Biology | N/A | Rutgers University | PhD in Health Informatics | 4 years | How Long Does It Take to Get a PhD in Bioinformatics?Generally, it takes four to six years to complete a PhD in Bioinformatics. However, depending on the university and the specialization you pursue, you can spend three to five years completing the program. Certain programs will take more time than others, and online or part-time programs can often take longer to finish than full-time, on-campus programs. Is a PhD in Bioinformatics Hard?Yes, earning a PhD in Bioinformatics is hard. Students pursuing this degree must complete intensive coursework, exams, and other requirements such as a dissertation or thesis. Moreover, some departments will demand prior requirements such as computer programming and mathematical skills, which can be challenging to acquire. It takes a lot of effort to obtain a PhD in Bioinformatics. Nonetheless, the effort is worth it. With hard work and time, obtaining a bioinformatics PhD is feasible. How Much Does It Cost to Get a PhD in Bioinformatics?The average tuition for a bioinformatics PhD program is $19,315 per year across all higher education institutions, according to the National Center for Education Statistics. However, this value varies depending on the university. Some institutions will fund their bioinformatics PhD students completely, while others may ask for higher or lower tuition costs than the stated figures. Attending a private institution is often more expensive than a public institution, and it is best to research the costs and funding opportunities available for both. How to Pay for a PhD in Bioinformatics: PhD Funding OptionsThe PhD funding options that students can take advantage of to pay for a PhD in Bioinformatics degree program include scholarships, graduate assistantships, fellowships, and tuition waivers. Some institutions, like the University of Utah and Johns Hopkins University, offer enrolled students fully-funded tuition, a yearly stipend, and health insurance. Best Online Master’s Degrees[query_class_embed] online-*subject-masters-degrees What Is the Difference Between a Bioinformatics Master’s Degree and PhD?The difference between a bioinformatics master’s degree and a PhD is the content of the curriculum and the number of years required to complete the program. While master’s degree programs typically take around two years, PhDs take an extended period of up to six or seven years. Bioinformatics master’s degrees will cover foundational concepts, but PhDs focus on advanced knowledge and specialized, applicable skills in the field. Additionally, PhDs offer superior job positions compared to master’s degrees because they are the highest form of educational qualification one can have in a particular field of study. Master’s vs PhD in Bioinformatics Job OutlookThe employment rate for bioengineers, a profession that typically only requires a bachelor’s or master’s degree, is projected to grow by six percent in the next decade , according to the Bureau of Labor Statistics. This is much lower than the rate of employment growth for bioinformatics scientists, which is expected to increase by 22 percent . This shows that the demand for PhD degree candidates in the bioinformatics field is higher than that of master’s degree holders. Having a PhD in Bioinformatics makes you the most qualified candidate for most positions and you can be assured of securing numerous lucrative career opportunities. Difference in Salary for Bioinformatics Master’s vs PhDA PhD in Bioinformatics graduate earns an average base salary of $116,000 per year, according to PayScale. This does not include the numerous benefits and perks of this position. Moreover, some cities offer higher pay, such as San Francisco, San Diego, and New York. With a Master’s Degree in Bioinformatics, candidates earn an average annual salary of $83,000. A PhD in Bioinformatics graduate earns almost double the salary of a master’s degree holder. Related Bioinformatics Degrees[query_class_embed] https://careerkarma.com/blog/best-bioinformatics-bachelors-degrees/ https://careerkarma.com/blog/best-bioinformatics-masters-degrees/ https://careerkarma.com/blog/bioinformatics/ Why You Should Get a PhD in BioinformaticsYou should get a PhD in Bioinformatics to enjoy the numerous benefits of this qualification. With a PhD, you will become a certified expert in the field. Below are some of top the reasons you should consider pursuing a bioinformatics PhD. Reasons for Getting a PhD in Bioinformatics- Career development . A PhD in Bioinformatics is essential to secure senior positions in the field. This doctoral degree proves that you have the relevant knowledge and skills to handle top positions in renowned companies, and gives you an edge over the competition in the job market.
- Academic achievement . Aside from securing a dream job, some people feel most accomplished when achieving their academic goals. You can pursue a PhD in Bioinformatics to improve your skills and intensive knowledge in this scientific field.
- Innovative health projects . The best bioinformatics degree programs will equip you with new knowledge and skills in science, computing, and health. You can utilize these skills to work on groundbreaking projects, such as finding a biological solution or cure to a disease.
- Higher earning potential . A PhD automatically increases a degree holder’s earning potential, and can lead to salaries that are double what they would be with a bachelor’s or master’s degree.
Getting a PhD in Bioinformatics: Bioinformatics PhD CourseworkGetting a PhD in Bioinformatics requires candidates to complete core bioinformatics PhD coursework in mathematics, statistics, computing, and biology. Below are a few of the most common core courses you may see in a bioinformatics PhD program curriculum. Introduction to BioinformaticsThis course introduces students to the fundamental concepts of bioinformatics. It teaches about the different tools and techniques used in the field and how they are applied. It is typically a combination of theory and practical skills and topics for students to gain hands-on experience applying bioinformatics tools and solutions. Bioinformatics Resources and DatabasesThis course involves the study of biological databases, data formats, ontologies, and biological resources. This course helps you learn how to obtain and apply different databases to find solutions in the field. This course focuses on teaching students how to learn Linux , an operating system that is heavily utilized in the field of bioinformatics. It covers the introduction to Linux, Linux environment, command-line interface, manipulating files and directories, navigating Linux directory structure, and primary Linux commands. Multiple Sequence AlignmentThis course introduces students to multiple sequence alignment theory (MSA), and a protein, DNA, or RNA biological sequence alignment. Students will learn about visualization and assessment of MSA quality, and how to use proper tools for MSA analysis. Molecular Evolution and PhylogeneticsA course in molecular evolution and phylogenetics focuses on how different species and genes are related. The course will cover introductory and overview methods of molecular evolution and phylogenetic approaches. Best Master’s Degrees[query_class_embed] *subject-masters-degrees How to Get a PhD in Bioinformatics: Doctoral Program RequirementsWhen undertaking a PhD in Bioinformatics, you’ll have to fulfill all of the doctoral program requirements. Whether you are pursuing a PhD in Informatics and Computing, Information Science, or Pathobiology, below are the typical requirements you’ll need to fulfill to get your degree. A PhD in Bioinformatics program will state the total credit hours you’ll have to complete to obtain your doctoral degree, as well as any required publication or research work. Programs can have credit requirements from 65 to over 100 credit hours. Many graduate assistantships or fully-funded programs will require students to publish articles in peer-reviewed journals or assist faculty in research. Like many other degrees, PhD in Bioinformatics programs require multiple comprehension and qualifying exams for students to test whether they've mastered different key concepts in the field. To receive your Doctor of Philosophy degree, you must pass the preliminary and qualifying exams. As a highly-qualifying program of study, the best universities offering PhD in Bioinformatics degrees usually require a minimum GPA that candidates must maintain. Some programs will not allow candidates to graduate or will suspend funding or assistantships if a certain GPA is not met throughout their studies. Each bioinformatic PhD program entails certain coursework that students must complete in order to be certified in a specific area. This coursework is typically divided into different units in the curriculum, such as core courses, research and dissertation hours, and elective courses. Before enrolling in any PhD program, you should research the course curriculum in the school catalog to ensure that the curriculum is a good fit for your interests and career goals. Perhaps the most vital requirement for a bioinformatics PhD is the thesis or dissertation. A dissertation is a research project where students answer a particular question or solve a problem that is relevant to their field of study. The dissertation usually has to be orally defended in front of the department, and this allows the faculty to evaluate whether the candidate has acquired the necessary research skills to enable them to find a solution to real-world problems and situations. Potential Careers With a Bioinformatics Degree[query_class_embed] how-to-become-a-*profession PhD in Bioinformatics Salary and Job OutlookA PhD in Bioinformatics degree increases your qualifications for employment and your earning potential significantly. The job outlook for PhD holders in this field is 22 percent more than the national average for all other occupations. Therefore, you can always find a viable career opportunity in the field, from teaching in a university to industry research. What Can You Do With a PhD in Bioinformatics?With a PhD in Bioinformatics, you can join leading experts in many different career paths. You can also enjoy top-paying job opportunities with numerous benefits and exclusive perks to boost your productivity, job satisfaction, and career development. Below are some of the best bioinformatics jobs available to graduates. Best Jobs with a PhD in Bioinformatics- Computer and Information Research Scientist
- Postsecondary Teacher
- Bioinformatician
- Senior Research Scientist
- Principal Investigator/Clinical Research
What Is the Average Salary for a PhD in Bioinformatics?The average PhD in Bioinformatics salary is $116,000 per year , according to PayScale. This value can vary depending on your location and the company you work for. Check out some of the best high-paying bioinformatics jobs below. Highest-Paying Bioinformatics Jobs for PhD Grads Bioinformatics PhD Jobs | Average Salary | Computer and Information Research Scientist | | Principal Scientist | | Senior Research Scientist in Biotechnology | | Bioengineer or Biomedical Engineer | | Principle Investigator in Clinical Research | | Best Bioinformatics Jobs with a DoctorateThe job opportunities for candidates with a PhD in Bioinformatics are endless. Below you’ll find information regarding job duties, job outlook, and annual salary information for some of the best jobs available in the field of bioinformatics. Computer and information research scientists use their analytical and statistics skills to identify and improve computing problems in a wide range of industries. Job duties of these professionals can include working with scientists to identify and solve a technological problem and utilizing machine learning and data science concepts to conduct experiments and tests. - Salary with a Bioinformatics PhD : $131,490
- Job Outlook : 22% job growth from 2020 to 2030
- Number of Jobs : 33,000
- Highest-Paying States : Oregon, Arizona, and Texas
Principal or head scientists often lead teams of qualified research professionals that collect data on different phenomenons, from genetic sequencing to hereditary diseases. Their expertise and dedication to science allow them to properly analyze and predict trends, and they generally focus on advancing the scientific field itself as opposed to the profits of an industry. - Salary with a Bioinformatics PhD : $125,801
- Job Outlook : 17% job growth from 2020 to 2030
- Number of Jobs : 133,900
- Highest-Paying States : Connecticut, Maine, and Delaware
Senior research scientists in biotechnology engage in biology, mathematics, computer science, and/or chemistry research operations for companies, organizations, or universities. They often focus on academic and industrial projects to create new products or systems and conduct experiments to analyze developments in the field. - Salary with a Bioinformatics PhD : $108,465
Bioengineers work with computing and data science, engineering, and human health. These professionals typically work in research to develop new statistical models, software, or even drugs and cures to diseases, or quality assurance to test and inspect computer systems, equipment, and processes to ensure safety and effectiveness. - Salary with a Bioinformatics PhD : $97,410
- Job Outlook : 6% job growth from 2020 to 2030
- Number of Jobs : 19,300
- Highest-Paying States : New Mexico, Arizona, and Minnesota
Principle investigators in clinical research often work in laboratories and lead a team of scientists to conduct clinical research and tests regarding different diseases or medical phenomena. Objectives vary by field, but the principal investigator is in charge of assisting and offering guidance to team members and offering expertise in the research process. - Salary with a Bioinformatics PhD : $85,000
Is a PhD in Bioinformatics Worth It?Yes, a PhD in Bioinformatics is worth it. With this doctoral qualification, you will stand out from other candidates, as a PhD degree proves that you have specialized, expert knowledge and skills to perform any role in bioinformatics exceptionally. With a high-earning potential in a growing field, pursuing a PhD in Bioinformatics will prove to be more than worth it. Additional Reading About Bioinformatics[query_class_embed] https://careerkarma.com/blog/python-for-bioinformatics/ https://careerkarma.com/blog/bachelor-of-science-biology/ https://careerkarma.com/blog/biotech-companies/ PhD in Bioinformatics FAQYes, you can get a top-quality PhD in Bioinformatics online at schools like Bircham International University, Rutgers University, and George Mason University. These institutions allow you to pursue your Doctor of Philosophy in Bioinformatics remotely and at your own pace. The most affordable PhD in Bioinformatics programs are those that are fully funded by the university. These programs include the PhD in Pathobiology offered by Johns Hopkins and the PhD in Biomedical Informatics program at the University of Utah. These two universities cover the full tuition amount and even provide students with a yearly stipend to cater to other needs. No, you typically cannot get an application fee back after you withdraw your application. Most application fees are non-refundable because they facilitate the entire evaluation process and prove to the department that you are serious about attending the program. No, a Master’s Degree in Bioinformatics is not always a mandatory admission requirement. Many universities will accept candidates for bioinformatics PhD programs as long as they have a master’s degree in a relevant course, and other universities will accept highly qualified candidates with only a bachelor’s degree. About us: Career Karma is a platform designed to help job seekers find, research, and connect with job training programs to advance their careers. Learn about the CK publication . What's Next?Get matched with top bootcampsAsk a question to our community, take our careers quiz. Leave a Reply Cancel replyYour email address will not be published. Required fields are marked * |
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The Department of Biomedical Informatics offers a PhD in Biomedical Informatics in the areas of Artificial Intelligence in Medicine (AIM) and Bioinformatics and Integrative Genomics (BIG).. The AIM PhD track prepares the next generation of leaders at the intersection of artificial intelligence and medicine. The program's mission is to train exceptional computational students, harnessing ...
A recent study has found that the interest of researchers in these topics plateaued over after the early 2000s [1]. Besides the above mentioned hot topics, the following topics are considered demanding in bioinformatics. Cloud computing, big data, Hadoop. Machine learning. Artificial intelligence.
PhD in Bioinformatics and Systems Biology with emphasis in Biomedical Informatics. ... Topics covered include structuring of data, computing with phenotypes, integration of molecular, image and other non-traditional data types into electronic medical records, clinical decision support systems, biomedical ontologies, data and communication ...
This includes courses covering topics in molecular biology, genetics, evolution, environmental science, experimental methods, and human health. ... Computational Biology PhD students are required to teach at least two semesters (starting with Fall 2019 class), but may teach more. ... such as computational biology or bioinformatics; a major in a ...
Email Cathy Haskell. 617-432-7856. PhD Program. Overview The Bioinformatics and Integrative Genomics (BIG) PhD track is an interdisciplinary program that trains future leaders in the field of bioinformatics and genomics. Our mission is to provide our graduate students with the tools to conduct original research in the development of novel ...
In 2023, the Bioinformatics Graduate Program maintains a student body of 87 PhD students, and over 120 Master's students. They are mentored by the 44 DCMB faculty and the 130 CCMB faculty. Faculty members with biological and more quantitative expertise are both well represented. The Bioinformatics Graduate Program was created in 1999 and is ...
The CSB PhD Program. ... Applicants must have an undergraduate degree in biology (or a related field), bioinformatics, chemistry, computer science, mathematics, statistics, physics, or an engineering discipline, with dual-emphasis degrees encouraged. ... Topics in Computational and Systems Biology (One Subject): ...
Program Description. The mission of the Graduate Program in Computational Biology and Bioinformatics (CBB) is to train predoctoral students to become leaders at the interdisciplinary intersection of quantitative and biomedical sciences.
The PhD in Genomics & Bioinformatics begins with interdisciplinary coursework in molecular, cellular, and systems biology in the first semester. In the second and third semester students take a comprehensive introduction to the conceptual and experimental underpinnings of computational biology, statistics, genetics, and DNA sequencing. ...
A Bioinformatics PhD would provide you with the opportunity to work on an extended, in-detail project through the analysis of large sets of data. Bioinformatics programmes tend to be mostly 'dry' work with limited (if any) time in the laboratory conducting experiments. Since the focus is analysis of data, the choice of projects spans many ...
Our Research Focus. Today's data sets are of such magnitude and complexity that advanced bioinformatics methods are essential to their integration, management and dissemination. Our bioinformatics work incorporates data from both mouse and human genetic and genomic research and provides the annotations and interfaces necessary for delivering ...
PhD in Bioinformatics Data Science. A Ph.D. in Bioinformatics Data Science will train the next-generation of researchers and professionals who will play a key role in multi- and interdisciplinary teams, bridging life sciences and computational sciences. Students will receive training in experimental, computational and mathematical disciplines ...
PhD in Biomedical Informatics The PhD program in Biomedical Informatics is part of the Coordinated Doctoral Programs in Biomedical Sciences. Students are trained to employ a scientific approach to information in health care and biomedicine. Students may only enroll full-time, as required by the Graduate School of Arts and Sciences (GSAS). The first two years are
Students in the Computational Biology and Bioinformatics PhD program take graduate courses that cover topics from biology, computer science, mathematics, statistics and other disciplines. These courses guarantee a broad foundation in our field, and ensure students have sufficient scientific background and intellectual tools for success in research.
Computational biology and bioinformatics (CB&B) is a rapidly developing multidisciplinary field. The systematic acquisition of data made possible by genomics and proteomics technologies has created a tremendous gap between available data and their biological interpretation. Given the rate of data generation, it is well recognized that this gap will not be closed with direct individual ...
A PhD in biomedical informatics from UB prepares you to lead these organizations through complex information management challenges. With your advanced knowledge and skills, you'll apply sophisticated tools and methods to help design new systems and applications. Best of all, thanks to our close partnerships with regional health care ...
Information for prospective Ph.D. students in Computational Biology or Bioinformatics Note: every year, many students send applications directly to faculty members, but faculty members cannot accept students directly in any of our programs at Hopkins. You must apply to the Ph.D. programs through the Department websites given below.
The Bioinformatics and Integrative Genomics PhD track led by Program Director Dr. Peter Park and Associate Director Dr. Maha Farhat, provides students with the tools to conduct original research and the ability to develop novel approaches and new technologies to address fundamental biomedical questions. The track draws on three significant ...
Special Topics (Bioinformatics II) CSC 530. Computational Methods for Molecular Biology: ST 512. Statistical Methods For Researchers II : ST 810. Advanced Topics in Statistics (Bioinformatics Consulting) Bioinformatics PhD Courses: 8: PP 810. Special Topics (Genomic Sciences Journal Club) 1: ST 501. Fundamentals of Statistical Inference I: ST 502.
Faculty members working in these areas include: 2. Genetics and genomics. Genetics is the study of DNA-based inheritance and variation of individuals, while genomics is the study of the structure and function of the genome. Both apply biological and medical informatics and computational techniques using data generated from methods such as DNA ...
The PhD funding options that students can take advantage of to pay for a PhD in Bioinformatics degree program include scholarships, graduate assistantships, fellowships, and tuition waivers. Some institutions, like the University of Utah and Johns Hopkins University, offer enrolled students fully-funded tuition, a yearly stipend, and health ...
Mission Statement. The interdepartmental Bioinformatics and Integrative Genomics (BIG) PhD program trains future leaders in the field of bioinformatics and genomics. Our mission is to provide BIG graduate students with the tools to conduct original research and the ability to develop novel approaches and new technologies to address fundamental biological questions.
An innovative journal that provides a forum for new discoveries in bioinformatics. It focuses on how new tools and applications can bring insights to specific biological problems. ... Research Topics. Submission open The Application of Multi-omics Analysis in Translational Medicine. HaiHui Huang; Madhu Chetty; 304 views Submission open