Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data
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.
- 75 samples
- DAC: EGAC00001000551
- Technology: Illumina HiSeq 4000
- HMB DUO:0000006 (version: 2019-01-07)health or medical or biomedical researchThis data use permission indicates that use is allowed for health/medical/biomedical purposes; does not include the study of population origins or ancestry.
- RU DUO:0000014 (version: 2019-01-07)research use onlyThis data use limitation indicates that use is limited to research purposes (e.g., does not include its use in clinical care).
- PUB DUO:0000019 (version: 2019-01-07)publication requiredThis data use modifier indicates that requestor agrees to make results of studies using the data available to the larger scientific community.
- US DUO:0000026 (version: 2019-01-07)user specific restrictionThis data use modifier indicates that use is limited to use by approved users.
- IS DUO:0000028 (version: 2019-01-07)institution specific restrictionThis data use modifier indicates that use is limited to use within an approved institution.
Data access policy of sequencing data from BIOPIC, Peking University.The DATA ACCESS AGREEMENT is provided at https://github.com/zhangyybio/single-T-cell-data-access. Applicants can request access to the data by directly downloading it or by sending an email to cancerpku@pku.edu.cn. The process that is used to approve an application includes verifying the institution, participants and research purposes of the application, and the authorization by EGA. In general this process will take about two weeks. In principal, any academic research institutions complying with the laws and bioethic regulation policies of China will be approved.
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
Study ID | Study Title | Study Type |
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EGAS00001003883 | Other |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.