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Strelka2: fast and accurate calling of germline and somatic variants
by
Kim, Yeonbin
, Krusche, Peter
, Bekritsky, Mitchell A
, Saunders, Christopher T
, Scheffler, Konrad
, Källberg, Morten
, Halpern, Aaron L
, Noh, Eunho
, Beyter, Doruk
, Kim, Sangtae
, Chen, Xiaoyu
in
Accuracy
/ Automation
/ Computing costs
/ Contamination
/ Datasets
/ Gene deletion
/ Genomes
/ Haplotypes
/ Insertion
/ Methods
/ Noise
/ Parameter estimation
/ Software
2018
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Strelka2: fast and accurate calling of germline and somatic variants
by
Kim, Yeonbin
, Krusche, Peter
, Bekritsky, Mitchell A
, Saunders, Christopher T
, Scheffler, Konrad
, Källberg, Morten
, Halpern, Aaron L
, Noh, Eunho
, Beyter, Doruk
, Kim, Sangtae
, Chen, Xiaoyu
in
Accuracy
/ Automation
/ Computing costs
/ Contamination
/ Datasets
/ Gene deletion
/ Genomes
/ Haplotypes
/ Insertion
/ Methods
/ Noise
/ Parameter estimation
/ Software
2018
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Do you wish to request the book?
Strelka2: fast and accurate calling of germline and somatic variants
by
Kim, Yeonbin
, Krusche, Peter
, Bekritsky, Mitchell A
, Saunders, Christopher T
, Scheffler, Konrad
, Källberg, Morten
, Halpern, Aaron L
, Noh, Eunho
, Beyter, Doruk
, Kim, Sangtae
, Chen, Xiaoyu
in
Accuracy
/ Automation
/ Computing costs
/ Contamination
/ Datasets
/ Gene deletion
/ Genomes
/ Haplotypes
/ Insertion
/ Methods
/ Noise
/ Parameter estimation
/ Software
2018
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Strelka2: fast and accurate calling of germline and somatic variants
Journal Article
Strelka2: fast and accurate calling of germline and somatic variants
2018
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Overview
We describe Strelka2 (https://github.com/Illumina/strelka), an open-source small-variant-calling method for research and clinical germline and somatic sequencing applications. Strelka2 introduces a novel mixture-model-based estimation of insertion/deletion error parameters from each sample, an efficient tiered haplotype-modeling strategy, and a normal sample contamination model to improve liquid tumor analysis. For both germline and somatic calling, Strelka2 substantially outperformed the current leading tools in terms of both variant-calling accuracy and computing cost.
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