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.
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. Led by a team who have invented several of the methods used in network biology and single-cell transcriptome analysis, 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.
Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
Additional Information:
There are three requirements to attend this training:
1. Each participant must have an introductory background in statistics.
2. Each participant must be familiar with R.
3. Each participant must have a free, basic RStudio Cloud account prior to the first day of the workshop.
Visit training website for more information: https://www.publichealth.columbia.edu/academics/non-degree-special-programs/professional-non-degree-programs/skills-health-research-professionals-sharp-training/single-cell-analysis
Subscribe for updates: https://columbia.us15.list-manage.com/subscribe?u=60d3eb536eacd93ffd4c56c08&id=6706b9c678
Contact the Boot Camp Team: Columbia.scRNASeq@gmail.com
Capacity is limited. Paid registration is required to attend.
