ena-DATASET-BIOPIC-02-10-2019-12:24:45:651-233 - samples
收藏NIAID Data Ecosystem2026-03-11 收录
下载链接：
https://www.omicsdi.org/dataset/ega/EGAD00001005373
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资源简介：
In this study, we performed systematic comparative analysis of seven widely-used SNV-calling methods, including SAMtools, the GATK Best Practices pipeline, CTAT, FreeBayes, MuTect2, Strelka2 and VarScan2, on both simulated and real single-cell RNA-seq datasets.
We generated SMART-seq2 data for 70 CD45- single cells, which were derived from two colorectal cancer patients (P0411 and P0413). The average sequencing depths of these cells were 1.4 million reads per cell. We also generated tumor and adjacent normal bulk WES data, as well as tumor bulk RNA-seq data for these patients.EGA dataset EGAD00001005373
创建时间：
2019-10-22
