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133024.2 |
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|a dc
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|a Shand, Megan
|e author
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|a Massachusetts Institute of Technology. Department of Biological Engineering
|e contributor
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|a Koch Institute for Integrative Cancer Research at MIT
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|a Soto, Jose
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|a Lichtenstein, Lee
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|a Benjamin, David
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|a Farjoun, Yossi
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|a Brody, Yehuda
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|a Maruvka, Yosef
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|a Blainey, Paul C.
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|a Banks, Eric
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|a A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysis
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|b Springer Science and Business Media LLC,
|c 2022-02-09T16:06:34Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/133024.2
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|a 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.
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|a Article
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|t Communications Biology
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