Single Cell Analysis Boot Camp

The Single Cell and Spatial Analysis Boot Camp is a three-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 three-day intensive boot camp starts with a fast-paced training session on single cell data collection and basic analysis workflows on the first half-day, then continues with in-depth sessions on advanced methods for phenotyping single cell populations using systems-biology approaches. The third day is dedicated to spatial transcriptomics data analysis, the study of microenvironmental interactions (e.g., tumor-immune), and select topics in AI applied to transcriptional data analysis.

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:
– Prerequisites and Requirements: There are a few requirements to attend this training:

1. Each participant must have an introductory background in statistics.
2. Each participant must be familiar with basic R & Python.
3. Each participant must have a free, basic RStudio Cloud account prior to the first day of the workshop for lab sessions.
4. (Extra) Each participant will benefit from having a free basic Google/Gmail account to access Google Colab for additional material.
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   – Email us: Columbia.scRNASeq@gmail.com
   – See website for more details
   – Capacity is limited. Paid registration is required to attend.