Published in
American Association for the Advancement of Science, Science Advances, 50(6), 2020
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Integration of intra-sample contextual error modeling for improved detection of somatic mutations from deep sequencing
Journal article published in 2020 by
Sagi Abelson 
,
Andy G. X. Zeng,
Ido Nofech-Mozes ,
Ting Wang,
Stanley W. K. Ng,
Mark D. Minden ,
Trevor J. Pugh ,
Philip Awadalla,
Liran I. Shlush,
Tracy Murphy,
Steven M. Chan ,
John E. Dick ,
Scott V. Bratman
,
Andy G. X. Zeng,
Ido Nofech-Mozes ,
Ting Wang,
Stanley W. K. Ng,
Mark D. Minden ,
Trevor J. Pugh ,
Philip Awadalla,
Liran I. Shlush,
Tracy Murphy,
Steven M. Chan ,
John E. Dick ,
Scott V. Bratman
This paper is made freely available by the publisher.
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Abstract
Espresso efficiently distinguishes true mutations from background noise common in deep sequencing data.