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Skip to content Skip to search Skip to footer Division of Biology & Biomedical Sciences Open Menu Back Close Menu Search for: Search Close Search About DBBSAbout DBBS Letter from the Dean Graduate Course of Study Immersion Program Stipends, Benefits &＃038; GrantsStipends, Benefits &＃038; Grants Grants Management Services National Competitive Fellowships DBBS 50th Anniversary Celebration April 28-29, 2023 Video Gallery Living in St. Louis Faculty WUSTL Medical Scientist Training Program (MSTP) – Dual MD/PhD ProgramsPrograms Biochemistry, Biophysics, &＃038; Structural Biology Biomedical Informatics &＃038; Data Science Cancer Biology Computational &＃038; Systems Biology Developmental, Regenerative, &＃038; Stem Cell Biology Ecology &＃038; Evolutionary Biology Immunology Molecular Cell Biology Molecular Genetics &＃038; Genomics Molecular Microbiology &＃038; Microbial Pathogenesis Neurosciences Plant &＃038; Microbial Biosciences AdmissionsAdmissions The Application Undocumented &＃038; DACAmented Applicants Interviews What Makes an Application Strong? Recruitment Summer Undergraduate Research Programs Request Information Co-CurricularCo-Curricular Initiative for Maximizing Student Development Interdisciplinary Research Pathways Organizations &＃038; Campus Groups Career Development Calendar Related Calendars PeoplePeople Leadership Faculty Students Contact Us Open Search Computational &＃038; Systems Biology The goal of the Computational & Systems Biology (CSB) program is to train the next generation of scientists in technology-intensive, quantitative, systems-level approaches to molecular biology. We look for graduate students who are as comfortable operating the latest high end instrumentation as they are manipulating the mathematical formalisms that are required to make sense of their data. It is our hope that the students who join the CSB will apply these approaches to unraveling the complex genetic circuits that control the cell and statistical approaches to understanding the genetics of human disease. ​Technological advances are having a major impact on molecular biology. Advances in experimental techniques mean that large amounts of sequence, expression, and localization data are now routinely gathered by individual investigators. In addition terabytes of these kinds of data are stored in various public and private databases. Concurrently, access to large scale computing resources has become more and more common in molecular biology laboratories. Students in the Computational & Systems Biology program will learn to leverage these advances in both experimental and computational resources. CSB faculty work on a variety of different biological problems, but in most cases students will find a tight coupling between computational and experimental approaches. Some of the general areas in which faculty work include: Large-scale genetic network analysis and reconstruction Technology development for high-throughput collection of genetic and biochemical data Molecular modeling of genetic regulatory circuits Real time, single cell analyses of genetic regulatory circuits Specificity and evolution of DNA-protein interactions Algorithm development for comparison of DNA, RNA, and protein sequences Synthetic Biology Complex trait analysis Population genetic analysis of genetic variation Functional genomic approaches to disease gene identification Program of study Students in the Computational & Systems Biology (CSB) program will typically take five (5) to six (6) courses during their first year. Students will also participate in three laboratory rotations over the fall and spring semesters of Year 1 prior to selecting a thesis lab. Students are expected to complete the following coursework during their entire graduate education: DBBS required courses Graduate Research FundamentalsEthics and Research Science &＃8211; typically taken in Year 2 Program required courses Computational Molecular BiologyGenomicsFundamentals of Computer Science &＃8211; only for students who need additional training in computer science or do not have an undergraduate computer science degree Three (3) advanced electives Common options include:Population GeneticsMolecular EvolutionMacromolecular InteractionsMathematical Methods for Biophysics and BiochemistryAlgorithms for Computational BiologyNucleic Acids and Protein BiosynthesisAdvanced GeneticsStatistical ThermodynamicsStatistical ComputationProbabilityMathematical StatisticsStochastic ProcessesStatistical MechanicsIntro to Formal Languages and Automata TheoryInformation Systems and Database DesignNumerical Methods Computational Biology Journal Club Participation is strongly encouraged but not required. Qualifying exam In the spring/summer semesters of Year 2, students must pass a Qualifying Exam (QE). Following a successful QE defense, students will identify and finalize their committee and complete their thesis proposal by December 31 of Year 3. Thesis committee, proposal, and defense In the summer and/or fall semesters of Year 2 after rotations are completed, students will select a thesis advisor and begin working in their thesis labs. Students will then select a thesis committee and complete their thesis proposal. Students will complete their thesis research, defense, and graduation over the rest of their graduate career. Most students graduate within five (5) to six (6) years of beginning their program. Alumni outcomes CSB graduates pursue a variety of careers. Most program graduates go into industry, but many find paths in academia, government, and other fields like science communication and business and entrepreneurship. Graduate Program Administrator: Peiling Tsai Faculty Co-Directors: Gautam Dantas, PhDNancy Saccone, PhD Computational & System Biology Program Flyer (PDF) Request information Apply beginning Sept. 1 Programs Biochemistry, Biophysics, &＃038; Structural Biology Biomedical Informatics &＃038; Data Science Cancer Biology Computational &＃038; Systems Biology Developmental, Regenerative, &＃038; Stem Cell Biology Ecology &＃038; Evolutionary Biology Immunology Molecular Cell Biology Molecular Genetics &＃038; Genomics Molecular Microbiology &＃038; Microbial Pathogenesis Neurosciences Plant &＃038; Microbial Biosciences Roy and Diana Vagelos Division of Biology & Biomedical SciencesWashington University in St. Louis660 S. Euclid Ave.St. Louis, MO [email protected] Us Facebook Instagram YouTube ©2024 Washington University in St. Louis