We frequently organize single-cell data analysis workshops to help experimental scientists at MSKCC to develop computational skills to empower them to analyze the data they collect. We firmly believe that scientists who design the experiment and collect data have a deeper understanding of the biology that can help guide computational analysis. The workshops consist of a thorough discussion (with Python code and examples from literature) of existing computational tools used in single-cell data analysis. All the code implemented in the workshop is also made available with extensive documentation. You can view the materials from previous workshops here:
Workshops for scientists outside MSKCC: In March and December 2024, we organized week long NYC wide single-cell data analysis workshops called SCALE. The workshops involved 24 participants and included presentations followed by “hands-on” sessions where the participants implemented the discussed code. We focused on some of the state-of-the-art data analyses tools for analyzing scRNA-seq data. The workshop was co-organized by SAIL with the Office of Scientific Education and Training and Dr. Richard Koche from Epigenomics Innovation Research Lab at MSKCC. The slides and code from the SCALE workshop (March 2024) are accessible here and materials from SCALE workshop (December 2024) are accessible here.
We hope to continue these efforts into the future and further broaden the modalities discussed.