Single Cell Analysis
June 30 - July 13, 2017
Application Deadline: March 31, 2017


David Chenoweth, University of Pennsylvania
Michael McConnell, University of Virginia School of Medicine
Gene Yeo, University of California, San Diego


Olga Botvinnik, Chan Zuckerberg Biohub 

See the roll of honor - who's taken the course in the past

The goal of this two-week course is to familiarize students with cutting-edge technologies for characterization of single cells. Modules of the course will be taught by scientists with expertise in distinct areas of single cell analysis. Topics to be covered include quantitative single cell analysis by RNAseq, genomic DNA analysis, proteomics, and metabolomics. Multiple nucleic amplification methodologies including droplet-based RNAseq, MALBAC and MDA will be employed. In addition, students will be instructed in basic bioinformatic analysis of next generation sequencing data.

  • Single cell genome, transcriptome, and proteome measurement
  • Introductory next generation sequencing data analysis
  • Photoactivatable single cell probes
  • Single cell mass spectrometry / Soft X-ray tomography
Speakers and Module Leaders in 2017 include:

Nancy Allbritton, University of North Carolina
Lacramioara Bintu,
Stanford University
Jim Eberwine,
University of Pennsylvania
Amy Herr, University of California Berkeley
Carolyn Larabell,
University of California, San Francisco
Elena Romanova, University of Illinois
Stas Rubakhin,
University of Illinois
Rickard Sandberg,
Karolinska Institute, Sweden
Carsten Schultz,
Oregon Health & Science University
Peter Sims,
Columbia University
Nick Trotta,
Cell Microsystems
Xiaowei Zhang, Harvard University

This course is supported with funds provided by: National Institute of General Medical Sciences, Howard Hughes Medical Institute and Helmsley Charitable Trust.

Cost (including board and lodging): $3,810

This button links to a short form which confirms your interest in the course. No fees are due until you have completed the full application process and are accepted into the course.

Students accepted into the course should plan to arrive by early evening on June 29 and plan to depart after breakfast on July 13. Students are further expected to bring a laptop computer with specified bioinformatic packages pre-installed.