Estimating growth patterns and driver effects in tumor evolution from individual samples

Estimating growth patterns and driver effects in tumor evolution from individual samples

There are many methods to detect cancer-driving mutations. Here, the authors harness the variant allele frequency of mutations in tumor cells of a single individual to present a method that can estimate growth patterns and identify driver gene evolution at a patient specific level.

Bibliographic Details
Main Authors: Leonidas Salichos, William Meyerson, Jonathan Warrell, Mark Gerstein
Format: Article
Language:English
Published: Nature Publishing Group 2020-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-14407-9
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spelling doaj-6c6a5bf56eac4983a05e8f4f824a7d1c2021-05-11T08:26:49ZengNature Publishing GroupNature Communications2041-17232020-02-0111111410.1038/s41467-020-14407-9Estimating growth patterns and driver effects in tumor evolution from individual samplesLeonidas Salichos0William Meyerson1Jonathan Warrell2Mark Gerstein3Program in Computational Biology and Bioinformatics, Yale UniversityProgram in Computational Biology and Bioinformatics, Yale UniversityProgram in Computational Biology and Bioinformatics, Yale UniversityProgram in Computational Biology and Bioinformatics, Yale UniversityThere are many methods to detect cancer-driving mutations. Here, the authors harness the variant allele frequency of mutations in tumor cells of a single individual to present a method that can estimate growth patterns and identify driver gene evolution at a patient specific level.https://doi.org/10.1038/s41467-020-14407-9
collection DOAJ
language English
format Article
sources DOAJ
author Leonidas Salichos
William Meyerson
Jonathan Warrell
Mark Gerstein
spellingShingle Leonidas Salichos
William Meyerson
Jonathan Warrell
Mark Gerstein
Estimating growth patterns and driver effects in tumor evolution from individual samples
Nature Communications
author_facet Leonidas Salichos
William Meyerson
Jonathan Warrell
Mark Gerstein
author_sort Leonidas Salichos
title Estimating growth patterns and driver effects in tumor evolution from individual samples
title_short Estimating growth patterns and driver effects in tumor evolution from individual samples
title_full Estimating growth patterns and driver effects in tumor evolution from individual samples
title_fullStr Estimating growth patterns and driver effects in tumor evolution from individual samples
title_full_unstemmed Estimating growth patterns and driver effects in tumor evolution from individual samples
title_sort estimating growth patterns and driver effects in tumor evolution from individual samples
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-02-01
description There are many methods to detect cancer-driving mutations. Here, the authors harness the variant allele frequency of mutations in tumor cells of a single individual to present a method that can estimate growth patterns and identify driver gene evolution at a patient specific level.
url https://doi.org/10.1038/s41467-020-14407-9
work_keys_str_mv AT leonidassalichos estimatinggrowthpatternsanddrivereffectsintumorevolutionfromindividualsamples
AT williammeyerson estimatinggrowthpatternsanddrivereffectsintumorevolutionfromindividualsamples
AT jonathanwarrell estimatinggrowthpatternsanddrivereffectsintumorevolutionfromindividualsamples
AT markgerstein estimatinggrowthpatternsanddrivereffectsintumorevolutionfromindividualsamples
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