<p>CIViC: Crowdsourcing the Clinical Interpretation of Variants in Cancer&nbsp;</p>

Malachi Griffith; Nicholas Spies; Kilannin Krysiak; Josh McMichael; Adam Coffman; Benjamin Ainscough; Rachel Bilski; James Eldred; David Larson; Jason Walker; Richard Wilson; Elaine Mardis; Obi Griffith

doi:10.7490/f1000research.1110019.1

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How to cite this poster:

Griffith M, Spies N, Krysiak K et al. CIViC: Crowdsourcing the Clinical Interpretation of Variants in Cancer [version 1; not peer reviewed]. F1000Research 2015, 4(ISCB Comm J):276 (poster) (https://doi.org/10.7490/f1000research.1110019.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

CIViC: Crowdsourcing the Clinical Interpretation of Variants in Cancer

Malachi Griffith¹, Nicholas Spies, Kilannin Krysiak, Josh McMichael, Adam Coffman, Benjamin Ainscough, Rachel Bilski, James Eldred, David Larson, Jason Walker, Richard Wilson, Elaine Mardis, Obi Griffith

Published 17 Jul 2015 (https://doi.org/10.7490/f1000research.1110019.1)

Author Affiliations

¹ Washington University School of Medicine, USA

Copyright © 2015 Griffith M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 17 Jul 2015

CIViC: Crowdsourcing the Clinical Interpretation of Variants in Cancer
[version 1; not peer reviewed]

Author Affiliations

¹ Washington University School of Medicine, USA

Presented at

Bioinformatics Open Source Conference (BOSC)

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Clinical, interpretation, variants, cancer, precision medicine, personalized medicine, database

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