The Columbia University Department of Systems Biology brings together researchers specializing in computational biology, experimental biology, and technology development to discover how biological traits emerge from complex molecular networks.
Systems biology and computational biology are becoming increasingly important disciplines in the biological sciences. Through PhD graduate education and postdoctoral training we prepare young scientists to become leaders in this exciting and rapidly growing field.
Research NewsNew Method for Identifying Genetic Alterations that Modulate Gene Expression
The Bussemaker Lab showed that variants in cofactor genes called cQTLs can change the connectivity between transcription factors and their target genes.
EducationSystems Biology Scientists Help Expand Microbiome Research
A cross-departmental Microbiome Working Group is building bridges between computational biologists and other CUMC investigators interested in understanding how the human microbiome affects health.
Awards and GrantsBarry Honig Named ISCB Fellow
The award recognizes Honig's "seminal contributions to protein structure prediction and molecular electrostatics, and his more recent work on protein function prediction, protein-DNA recognition, and cell-cell adhesion.”
Research NewsTatonetti Lab Connects Drug Interactions to Deadly Heart Condition
Using a new data science method for analyzing observational data and validating predictions, the scientists identified several drug combinations that appear to cause a dangerous type of arrhythmia called torsades de pointes.
EducationNew Course Covers Fundamentals of High-Performance Computing
Developed by the Mailman School of Public Health in partnership with the Department of Systems Biology, it addresses practical and theoretical challenges facing scientists interested in analyzing large data sets.
In the PressWang Lab Work on Bioeconomics Featured in Wall Street Journal
A collaboration between a biologist and an economist led to a new framework for describing how bacteria exchange metabolic resources. It offers a new lens for studying microbial communities based on economic theories.
InterviewHow Genomic Data Are Changing Population Genetics
Statistical analysis of large data sets enables new kinds of insights into the forces that drive genetic variation among individuals and species. Molly Przeworski describes how the field is evolving and some of her lab's recent findings.
Research NewsShort Tandem Repeats Shown to Regulate Gene Expression
A study led by Yaniv Erlich indicates that repeating short motifs in DNA called expression STRs can expand and contract in ways that modulate nearby gene expression. They are also associated with a range of medical conditions.
AnnouncementDepartment of Systems Biology Opens New Biotechnology Development Hub
The new space will promote the design of new experimental methods for studying biological systems, and enable an expansion of the Columbia Genome Center's next-generation sequencing capabilities.
Awards and GrantsAndrea Califano Named NCI Outstanding Investigator
The seven-year grant will support the development of systematic approaches for identifying the molecular factors that lead to cancer progression and to the emergence of drug resistance at the single-cell level.
EducationColumbia Launches Undergraduate Synthetic Biology Team
For this year’s International Genetically Engineered Machine Foundation (iGEM) competition, the team used synthetic biology methods to engineer edible probiotic bacteria that could regulate hunger and digestion.
AnnouncementFaculty Members Join Department of Systems Biology and C2B2
Kam Leong (Biomedical Engineering) has joined the Department as an interdisciplinary faculty member, while Yaniv Erlich (Computer Science) and Guy Sella (Biological Sciences) bring new expertise to C2B2.
Events and Seminars
April 29, 2016 - 9:30am
Tae Hyun Hwang(University of Texas Southwestern Medical Center)
May 23, 2016 - 4:00pm▶ More information
Life history effects on the molecular clock of autosomes and sex chromosomes. Proc Natl Acad Sci U S A