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 NewsRare, Deadly Lymphoma Demystified
The first systematic study of genomes of patients with ALK-negative anaplastic large cell lymphoma, an aggressive form of non-Hodgkin’s lymphoma, shows that many cases are driven by alterations in the JAK/STAT3 cell signaling pathway.
Research NewsFunctional Metagenomics Enables First Study of Bacterial Fitness in the Gut Microbiome
A new method called TFUMseq offers a relatively simple way to study the dynamics of the microbiome, and to engineer bacterial strains to thrive in the gut.
Research NewsTracing Bacterial Evolution Across Billions of Years
Using simulations of metabolism as a kind of microscope, Dennis Vitkup and Germán Plata have identified patterns in how bacteria adapt and diversify at the phenotypic level, an important issue in evolutionary biology.
Awards and GrantsColumbia Researchers Will Use Master Regulators to Reclassify Cancer Subtypes
The project aims to provide a catalog of pan-cancer subtypes that could identify biomarkers and therapeutic targets for specific kinds of tumors, and guide the next generation of precision medicine.
Awards and GrantsHarris Wang Named Winner of Sloan Research Fellowship
This prestigious award for early-career scientists will support work that combines methods from synthetic biology and computational biology to study how horizontal gene transfer contributes to microbial evolution.
Research NewsDiverse Autism Mutations Lead to Different Disease Outcomes
People with autism exhibit a wide range of symptoms. Now a large-scale analysis of hundreds of patients has started to uncover how diversity among traits can be traced to differences in patients’ genetic mutations.
Research NewsDistinguishing Patterns of Tumor Evolution in Chronic Lymphocytic Leukemia
A new computational method developed in the laboratory of Raul Rabadan has made it possible to determine the order in which mutations occur in cancer, providing insights into disease progression.
Research NewsNovel Machine Learning Method Expands the Landscape of Breast Cancer Driver Genes
An algorithm by recent PhD graduate Felix Sanchez-Garcia identifies cancer causing genes within somatic copy number alterations, doubling the number of known breast cancer drivers.
Upcoming EventsDepartment of Systems Biology Announces 2014-2015 Seminar Series
This year's visiting speakers series will include William Hahn, Nancy Cox, Stephen Quake, Frank McCormick, and others. Click on the link above for the complete schedule, and mark your calendars!
Research NewsAlgorithm Identifies Genetic Driver of Mesenchymal Glioblastoma
Combined with other tools developed in the Califano Lab, DIGGIT identified KLHL9 deletion as a cause of GBM. The algorithm offers a new method for identifying genetic drivers of disease.
Awards and GrantsPrestigious NIH Director's Awards Go to Two Department of Systems Biology Researchers
Associate Professor Dana Pe’er has received the Pioneer Award for high risk, high reward research, while postdoctoral scientist Kyle Allison has won an Early Independence Award.
AnnouncementThree CUMC Faculty Members Receive Interdisciplinary Appointments
Columbia University Medical Center professors Oliver Hobert, Richard Mann, and Rodney Rothstein have joined the Department of Systems Biology to facilitate collaborative research.
Events and Seminars
April 21, 2015 - 12:00pm
Agnieska Wendorff (Ferrando Lab) and Yao Shen (Califano Lab)
April 21, 2015 - 1:00pm
Tatyana Gindin(Senior Computational Scientist, Honig Lab)
Small molecule-induced oxidation of protein disulfide isomerase is neuroprotective. Proc Natl Acad Sci U S A