Peter Sims

Peter Sims

Titles

Assistant Professor, Department of Systems Biology

Affiliations

Department of Biochemistry and Molecular Biophysics
Department of Systems Biology
JP Sulzberger Columbia Genome Center
Center for Cancer Systems Therapeutics

Phone

(212) 305-2687

Peter Sims joined Columbia in 2012 as an assistant professor in the Department of Biochemistry and Molecular Biophysics. Researchers in his laboratory are working to improve single-cell approaches to systems biology. These approaches are crucial because individual cells respond in different ways to identical chemical and genetic perturbations, and because clinical samples are often limited to small numbers of cells. Translating new and existing techniques for genome-wide analysis to the single cell level will facilitate their application to biomedicine. The Sims Lab develops new tools for single-cell analysis, applying cutting-edge microscopy, next-generation sequencing, and microfabrication to enable unbiased, system-wide measurements of biological samples. He and his colleagues focus on single-cell transcriptomics and sequencing technology along with novel approaches to proteomics, where current tools lag far behind those available for nucleic acid analysis.

More News

News

Erin Bush Receives CP&S Officer of Research Award
A staff associate in the Department of Systems Biology and Columbia Genome Center, Erin helped develop a low cost, high throughout RNA-sequencing technology that allows researchers to screen drugs for genetic effects.
Automated, Single Cell RNA-Seq Enables Research on Tumor Ecology
A new technology developed in the Sims Lab makes it easier to explore functional diversity among cancer cells, and is playing a key role in several Department research projects.
Department 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.
Graduate Course Focuses on Foundations of Deep Sequencing
The new team-taught course provides an understanding of both the experimental principles of next-generation sequencing technologies and key statistical methods for analyzing the data they produce.
RNA-Seq "Boot Camp" Resources Now Available
In June 2015, a five-part lecture series organized by the Department of Systems Biology covered new applications of RNA-Seq and methods for more effective data analysis. Click the link for lecture notes and other related information.