Mining mutation contexts across the cancer genome to map tumor site of origin

S Chakraborty, A Martin, Z Guan, CB Begg… - Nature …, 2021 - nature.com
The vast preponderance of somatic mutations in a typical cancer are either extremely rare or
have never been previously recorded in available databases that track somatic mutations.
These constitute a hidden genome that contrasts the relatively small number of mutations
that occur frequently, the properties of which have been studied in depth. Here we
demonstrate that this hidden genome contains much more accurate information than
common mutations for the purpose of identifying the site of origin of primary cancers in …

[引用][C] Mining mutation contexts across the cancer genome to map tumor site of origin. Nature Commun. 12 (1), 3051

S Chakraborty, A Martin, Z Guan, CB Begg, R Shen - 2021
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