gCSI 2019

gCSI 2019 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.4737437. An unfiltered version of the gCSI dataset, updated since the publication in Haverty et al.

Disclaimer

The gCSI data were generated and shared by Genentech as part of the Genentech Cell Line Screening Initiative (Eva Lin, Yihong Yu, Scott Martin, Department of Discovery Oncology). The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets.

Data Usage Policy

The data are provided under Creative Commons BY 4.0 license. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genentech provided the original data files on an “as is” basis and excludes all warranties of any kind (express or implied).

Please cite the following when using these data

Klijn C, Durinck S, Stawiski EW, Haverty PM, Jiang Z, Liu H, Degenhardt J, Mayba O, Gnad F, Liu J, Pau G, Reeder J, Cao Y, Mukhyala K, Selvaraj SK, Yu M, Zynda GJ, Brauer MJ, Wu TD, Gentleman RC, Manning G, Yauch RL, Bourgon R, Stokoe D, Modrusan Z, Neve RM, de Sauvage FJ, Settleman J, Seshagiri S, Zhang Z. A comprehensive transcriptional portrait of human cancer cell lines. Nat Biotechnol. 2015 Mar;33(3):306-12. doi: 10.1038/nbt.3080. Epub 2014 Dec 8. PMID: 25485619

Haverty PM, Lin E, Tan J, Yu Y, Lam B, Lianoglou S, Neve RM, Martin S, Settleman J, Yauch RL, Bourgon R. Reproducible pharmacogenomic profiling of cancer cell line panels. Nature. 2016 May 19;533(7603):333-7. doi: 10.1038/nature17987. PMID: 27193678