DepMap 21Q1 Public

This dataset contains the results of Avana library CRISPR-Cas9 genome-scale knockout (prefixed with Achilles) as well as mutation, copy number and gene expression data (prefixed with CCLE) for cancer cell lines as part of the Broad Institute’s Cancer Dependency Map project. We have repackaged our fileset to include all quarterly-updating datasets produced by DepMap.<br>The Avana CRISPR-Cas9 genome-scale knockout data has expanded to include 808 cell lines, the RNAseq data includes 1376 cell lines, and the copy number data includes 1740 cell lines. Please see the README files for details regarding data processing pipeline procedures updates.<br>As our screening efforts continue, we will be releasing additional cancer dependency data on a quarterly basis for unrestricted use. For the latest datasets available, further analyses, and to subscribe to our mailing list visit https://depmap.org.<br>Descriptions of the experimental methods and the CERES algorithm are published in http://dx.doi.org/10.1038/ng.3984. Some cell lines were process using copy number data based on the Sanger Institute whole exome sequencing data (COSMIC: http://cancer.sanger.ac.uk.cell_lines, EGA accession number: EGAD00001001039) reprocessed using CCLE pipelines. A detailed description of the pipelines and tool versions for CCLE expression can be found here: https://github.com/broadinstitute/gtex-pipeline/blob/v9/TOPMed_RNAseq_pipeline.md.<br><br>v2: changed dataset name<br>本数据集包含布罗德研究所（Broad Institute）癌症依赖性图谱（Cancer Dependency Map, DepMap）项目中的癌细胞系相关数据，具体包括Avana文库CRISPR-Cas9全基因组敲除（前缀为Achilles）结果，以及突变、拷贝数和基因表达数据（前缀为CCLE）。我们已对文件集进行重新打包，纳入了DepMap产出的所有季度更新数据集。 Avana CRISPR-Cas9全基因组敲除数据已扩展至覆盖808个细胞系，RNA测序（RNAseq）数据覆盖1376个细胞系，拷贝数数据覆盖1740个细胞系。有关数据处理流程更新的详细信息，请参阅README文件。 随着筛选工作的持续推进，我们将按季度发布更多癌症依赖性数据，供无限制使用。如需获取最新数据集、开展进一步分析或订阅我们的邮件列表，请访问https://depmap.org。 实验方法与CERES算法的相关描述已发表于http://dx.doi.org/10.1038/ng.3984。部分细胞系的拷贝数数据基于桑格研究所（Sanger Institute）全外显子测序数据（COSMIC：http://cancer.sanger.ac.uk.cell_lines，欧洲基因组学档案（EGA）收录号：EGAD00001001039）生成，并通过CCLE流程重新处理。CCLE基因表达流程及工具版本的详细说明可在此处查阅：https://github.com/broadinstitute/gtex-pipeline/blob/v9/TOPMed_RNAseq_pipeline.md。 版本2：更改了数据集名称。