<div><p>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 (<a href="http://www.qcmg.org/bioinformatics/qsnp/" target="_blank">http://www.qcmg.org/bioinformatics/qsnp/</a>) 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 admi...
As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding ...
<div><p>A key constraint in genomic testing in oncology is that matched normal specimens are not com...
Abstract Background A key step in cancer genome analy...
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...
SomaticSeq is an accurate somatic mutation detection pipeline implementing a stochastic boosting alg...
Cancer, which affects hundreds of thousands of people worldwide every year and costs billions in tre...
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...
Next generation sequencing (NGS) technology provides researchers an opportunity to study cancer gen...
BackgroundA key step in cancer genome analysis is the identification of somatic mutations in the tum...
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>A key constraint in genomic testing in oncology is that matched normal specimens are not com...
Abstract Background A key step in cancer genome analy...
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...
SomaticSeq is an accurate somatic mutation detection pipeline implementing a stochastic boosting alg...
Cancer, which affects hundreds of thousands of people worldwide every year and costs billions in tre...
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...
Next generation sequencing (NGS) technology provides researchers an opportunity to study cancer gen...
BackgroundA key step in cancer genome analysis is the identification of somatic mutations in the tum...
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>A key constraint in genomic testing in oncology is that matched normal specimens are not com...
Abstract Background A key step in cancer genome analy...