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.
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.
InterviewNew Directions in Genome Engineering: An Interview with Harris Wang
Dr. Wang describes (MO)-MAGE, a new technology he developed for mutating large numbers of genes in a targeted way, and the exciting opportunities it offers for the field of synthetic biology.
Research NewsStudy Sheds Light on Ashkenazi Jewish Genome and Ancestry
Findings from an international consortium led by Itsik Pe'er provide evidence of a population bottleneck in medieval Europe and could enable improvements in personalized medicine for this isolated population.
EducationGraduate Students Awarded Training Grants
Congratulations to Albert Lee and Chaitanya Rastogi, who have been named awardees of these competitive fellowships, which provide support for outstanding students working toward a PhD in Department of Systems Biology laboratories.
AnnouncementColumbia Genome Center Now Offers NextSeq 500 and MiSeq Self-Service
Columbia investigators who are experienced with the Illumina platform can now schedule time to use these advanced technologies for exome, transcriptome, and small genome sequencing.
Research NewsProtein Found that Promotes Breast Cancer Metastasis
Saeed Tavazoie and researchers at Rockefeller University have discovered that the RNA binding protein TARBP2 drives metastasis and identified tantalizing connections between cancer and two neurodegenerative diseases.
AnnouncementMAGNet Releases Web Browser-Enabled Version of geWorkbench Bioinformatics Software Platform
An upgrade of MAGNet's software platform makes it easier to access an integrated collection of computational tools for research in structural and systems biology.
In the PressColumbia Launches Initiative to Advance Personalized Medicine
The Spring 2014 issue of Columbia Medicine reports on a university-wide project to identify more patient-specific ways to diagnose and treat disease, and the key role the Department of Systems Biology is playing in this effort.
Meeting ReportDepartment of Systems Biology Holds Annual MAGNet Retreat
Postdoctoral research scientist Sayantan Bose received a best poster award at a meeting that also provided an overview of the diverse computational and experimental research currently underway around the Department.
Research NewsSynergy between Two Genes Drives Aggressive Prostate Cancer
Using a new computational method for comparing regulatory networks in human cancer cells with those in a mouse model, researchers found that FOXM1 and CENPF together drive the most lethal prostate tumors.
AnnouncementMolly Przeworski Named Professor at Columbia
A specialist in evolutionary genetics, Dr. Przeworski combines modeling, development of statistical tools, and data analysis to study how natural selection and recombination shape the heritable differences seen among individuals and species.
Events and Seminars
November 19, 2014 - 2:00pm
Haiyuan Yu(Weill Institute for Cell & Molecular Biology, Cornell University)
May 27, 2015 - 4:00pm▶ More information
Recent progress in engineering human-associated microbiomes. Methods Mol Biol