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.
Upcoming Events2016-2017 Seminar Series Announced
Mark your calendars for these upcoming events! Invited speakers will discuss a range of topics topics in computational biology, epigenomics, evolutionary biology, gene regulation, cancer systems biology, and developmental biology, among others.
InterviewA Jack of All Trades: An Interview with Kam Leong
The biomedical engineer explains how nanotechnologies he has developed could support systems biology research and why interdisciplinary collaboration is so important to science and engineering today.
EducationYoung Investigators Celebrated at Annual Department Retreat
Winners of the Best Poster Competition focused on topics including human genetics, the molecular basis of neuron self-recognition, glioblasoma tumor evolution, and new technologies for single-cell RNA-seq analysis.
In the PressCan Math Crack Cancer's Code?
An essay coauthored by Department of Systems Biology Chair Andrea Califano in the Wall Street Journal asks whether quantitative modelling could hold the keys to identifying proteins that function as on/off switches for cancer.
Research NewsScientists Quantify Genetic Connections between Cancer and Developmental Disorders
A study led by Yufeng Shen suggests that cancer data could be used to pinpoint rare, damaging genetic alterations that increase the risk of developmental syndromes like autism.
Awards and GrantsColumbia Awarded NCI Center for Cancer Systems Biology
The Center for Cancer Systems Therapeutics (CaST) is developing a framework that can account for the dynamic nature of cancer and use this knowledge to disrupt the programs that maintain tumor survival.
Research NewsMethod for Determining Protein Function Opens Opportunities for Precision Cancer Medicine
A new algorithm called VIPER offers the first method for analyzing a single tumor biopsy to identify proteins that drive cancerous activity in individual patients.
Research NewsStudy of Glioblastoma Tumor Evolution Reveals Strategies Against Advanced Disease
Genetically distinct populations of cells appear to drive malignancy before and after therapy. The findings provide insights into GBM drug resistance and how it might be overcome.
Research NewsGraduate Students Invent Technique for Reprogramming Translation
MD/PhD students Andrew Anzalone and Sakellarios Zairis engineered RNA motifs capable of inducing ribosomal frameshifting. Their method could offer new opportunities for synthetic biology.
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.”