Single Cell Analysis Boot Camp: Systems Biology Methods for Analysis of Single Cell RNA-Seq

The Single Cell Analysis Boot Camp is a two-day intensive training of seminars and hands-on analytical sessions to launch students on a path towards mastery of scRNASeq data analysis methods used in health studies.

The Single Cell Analysis Boot Camp is led by Dr. Evan Paull and Dr. Pasquale Laise, a team who have invented several of the methods used in network biology and single-cell transcriptome analysis, from Columbia University’s department of Systems Biology.

This two-day intensive boot camp starts with a fast-paced training session on single cell data collection and basic analysis in the first half-day, then continues with in-depth sessions on advanced methods for phenotyping single cell populations using systems-biology approaches. In this workshop we demonstrate how to use network models to convert gene expression profiles into protein activity profiles, and how to transfer knowledge between established bulk datasets and novel single-cell data. We expect that, during this hands-on workshop, participants will acquire enough knowledge to plan and perform scRNAseq analyses.

There is a limited capacity for the Boot Camp. Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.

Prerequisites/Requirements:

• Each participant must have an introductory background in statistics
• Each participant must be familiar with R.
• Each participant must bring a laptop with R downloaded and installed prior to the first day of the workshop. R is available for free download and installation on Mac, PC, and Linux operating systems.

More Information:

• Paid registration required through RegFox: https://columbia-workshops.regfox.com/2019-single-cell-analysis
• More information about registration deadlines, fees, and logistics can be found on our website at https://www.mailman.columbia.edu/single-cell-analysis
• Email us at Columbia.ScRNASeq@gmail.com