| dc.contributor.author | Shand, Megan | |
| dc.contributor.author | Soto, Jose | |
| dc.contributor.author | Lichtenstein, Lee | |
| dc.contributor.author | Benjamin, David | |
| dc.contributor.author | Farjoun, Yossi | |
| dc.contributor.author | Brody, Yehuda | |
| dc.contributor.author | Maruvka, Yosef | |
| dc.contributor.author | Blainey, Paul C. | |
| dc.contributor.author | Banks, Eric | |
| dc.date.accessioned | 2022-02-09T16:06:34Z | |
| dc.date.available | 2021-10-18T16:49:37Z | |
| dc.date.available | 2022-02-09T16:06:34Z | |
| dc.date.issued | 2020-12 | |
| dc.date.submitted | 2020-01 | |
| dc.identifier.issn | 2399-3642 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/133024.2 | |
| dc.description.abstract | Existing cancer benchmark data sets for human sequencing data use germline variants, synthetic methods, or expensive validations, none of which are satisfactory for providing a large collection of true somatic variation across a whole genome. Here we propose a data set, Lineage derived Somatic Truth (LinST), of short somatic mutations in the HT115 colon cancer cell-line, that are validated using a known cell lineage that includes thousands of mutations and a high confidence region covering 2.7 gigabases per sample. | en_US |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1038/s42003-020-01460-9 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Nature | en_US |
| dc.title | A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysis | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Shand, Megan, Soto, Jose, Lichtenstein, Lee, Benjamin, David, Farjoun, Yossi et al. 2020. "A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysis." Communications Biology, 3 (1). | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
| dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | en_US |
| dc.relation.journal | Communications Biology | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2021-08-25T16:18:08Z | |
| dspace.orderedauthors | Shand, M; Soto, J; Lichtenstein, L; Benjamin, D; Farjoun, Y; Brody, Y; Maruvka, Y; Blainey, PC; Banks, E | en_US |
| dspace.date.submission | 2021-08-25T16:18:09Z | |
| mit.journal.volume | 3 | en_US |
| mit.journal.issue | 1 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work Needed | en_US |
