Introduction to Data Harmonization with Seurat (feat. Rahul Satija)

Описание к видео Introduction to Data Harmonization with Seurat (feat. Rahul Satija)

To access all Visible Human MOOC materials and exercises, register for free at HuBMAP Visible Human MOOC (VHMOOC): https://expand.iu.edu/browse/sice/cns....

References
Bhattacharya, Soumyaroop, Jacquelyn L. Myers, Cameron Baker, Minzhe Guo, Soula Danopoulos, Jason R. Myers, Gautam Bandopadhyay, Stephen Romas, Heidie L. Huyck, Ravi S. Misra, Jennifer Dutra, Jeanne Holden Wiltse, Andrew McDavid, John M. Ashton, Denise Al Alam, S. Steven Potter, Jeffrey A. Whitsett, Yan Xu, Gloria S. Pryhuber, and Thomas J. Mariani. 2020. "Single Cell Transcriptomic Profiling Identifies Molecular Phenotypes of Newborn Human Lung Cells." bioRxiv, June 18, 2020. https://www.biorxiv.org/content/10.11....

Butler, Andrew, Paul Hoffman, Peter Smibert, Efthymia Papalexi, and Rahul Satija. 2018. "Integrating Single-Cell Transcriptomic Data Across Conditions, Technologies, and Species." Nature Biotechnology 36: 411–420. https://www.nature.com/articles/nbt.4096.

Stuart ,Tim, Andrew Butler, Paul Hoffman, Christoph Hafemeister, Efthymia Papalexi, William M. Mauck III, Y Hao, Marlon Stoeckius, Peter Smibert, and Rahul Satija. 2019. "Comprehensive Integration of Single-Cell Data." Cell 177: 1888-1902. https://www.cell.com/cell/pdf/S0092-8....

Software Credits
Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data. https://satijalab.org/seurat.

Websites
Satija Lab. https://satijalab.org.

Комментарии

Информация по комментариям в разработке