Single Cell Analysis
June 29 - July 14, 2018
Application Deadline: March 31, 2018


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

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
Confirmed Speakers and Module Leaders in 2018 Include:

Nancy Allbritton, University of North Carolina
John Chang, University of California San Diego
James Eberwine, University of Pennsylvania 
Amy Herr, 
University of California Berkeley
Carolyn Larabell, University of California, San Francisco
Arjun Raj, University of Pennsylvania
Elena Romanova, University of Illinois
Stas Rubakhin, University of Illinois
Peter Sims, Columbia University
Aaron Streets, University of California Berkeley
Sarah Teichmann,
Wellcome Trust Sanger Institute
Mary Teruel, Stanford University
Nick Trotta, Cell Microsystems
Thierry Voet, KU Leuven & Wellcome Trust Sanger Institute

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): $4,255

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 28 and plan to depart after breakfast on July 14.

Students are further expected to bring a laptop computer with specified bioinformatic packages pre-installed.

Before applying, ensure you have 1) Personal statement/essay; 2) Letter(s) of recommendation; 3) Curriculum vitae/resume (optional); 4) Financial aid request (optional). More details

If you are not ready to fully apply but wish to express interest in applying, receive a reminder two weeks prior to the deadline, and tell us about your financial aid requirements, click below: