Somatic mutation calling from next-generation sequencing data remains a challenge due to the difficulties of distinguishing true somatic events from artifacts arising from PCR, sequencing errors or mis-mapping. Tumor cellularity or purity, sub-clonality and copy number changes also confound the identification of true somatic events against a background of germline variants. We have developed a heuristic strategy and software (http://www.qcmg.org/bioinformatics/qsnp/) for somatic mutation calling in samples with low tumor content and we show the superior sensitivity and precision of our approach using a previously sequenced cell line, a series of tumor/normal admixtures, and 3,253 putative somatic SNVs verified on an orthogonal platform
Cancer, which affects hundreds of thousands of people worldwide every year and costs billions in tre...
As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding ...
As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding ...
<div><p>Somatic mutation calling from next-generation sequencing data remains a challenge due to the...
Somatic mutation calling from next-generation sequencing data remains a challenge due to the difficu...
Somatic mutation calling from next-generation sequencing data remains a challenge due to the difficu...
Cancer development and progression is driven by genetic alterations. These alterations include somat...
Abstract Background Accurate detection of somatic sin...
Abstract Background Accurate detection of somatic sin...
BackgroundAccurate detection of somatic single nucleotide variants and small insertions and deletion...
BackgroundAccurate detection of somatic single nucleotide variants and small insertions and deletion...
SomaticSeq is an accurate somatic mutation detection pipeline implementing a stochastic boosting alg...
Somatic mutations promote the transformation of normal cells to cancer. Accurate identification of s...
Somatic mutations promote the transformation of normal cells to cancer. Accurate identification of s...
Cancer, which affects hundreds of thousands of people worldwide every year and costs billions in tre...
Cancer, which affects hundreds of thousands of people worldwide every year and costs billions in tre...
As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding ...
As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding ...
<div><p>Somatic mutation calling from next-generation sequencing data remains a challenge due to the...
Somatic mutation calling from next-generation sequencing data remains a challenge due to the difficu...
Somatic mutation calling from next-generation sequencing data remains a challenge due to the difficu...
Cancer development and progression is driven by genetic alterations. These alterations include somat...
Abstract Background Accurate detection of somatic sin...
Abstract Background Accurate detection of somatic sin...
BackgroundAccurate detection of somatic single nucleotide variants and small insertions and deletion...
BackgroundAccurate detection of somatic single nucleotide variants and small insertions and deletion...
SomaticSeq is an accurate somatic mutation detection pipeline implementing a stochastic boosting alg...
Somatic mutations promote the transformation of normal cells to cancer. Accurate identification of s...
Somatic mutations promote the transformation of normal cells to cancer. Accurate identification of s...
Cancer, which affects hundreds of thousands of people worldwide every year and costs billions in tre...
Cancer, which affects hundreds of thousands of people worldwide every year and costs billions in tre...
As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding ...
As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding ...