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.Kari...
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 ...
Despite years of progress, mutation detection in cancer samples continues to require significant man...
<div><p>Somatic mutation calling from next-generation sequencing data remains a challenge due to the...
Cancer development and progression is driven by genetic alterations. These alterations include somat...
Abstract Background Accurate detection of somatic sin...
Cancer, which affects hundreds of thousands of people worldwide every year and costs billions in tre...
Motivation: With the advent of relatively affordable high-throughput technologies, DNA sequencing of...
In the first two projects, we focus on analyzing tumor somatic mutations data to study their prognos...
Archival tumor samples represent a rich resource of annotated specimens for translational genomics r...
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) is becoming a common approach for clinical testing of oncology spec...
Next generation sequencing (NGS) has enabled high throughput discovery of somatic mutations. Detecti...
SomaticSeq is an accurate somatic mutation detection pipeline implementing a stochastic boosting alg...
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 ...
Despite years of progress, mutation detection in cancer samples continues to require significant man...
<div><p>Somatic mutation calling from next-generation sequencing data remains a challenge due to the...
Cancer development and progression is driven by genetic alterations. These alterations include somat...
Abstract Background Accurate detection of somatic sin...
Cancer, which affects hundreds of thousands of people worldwide every year and costs billions in tre...
Motivation: With the advent of relatively affordable high-throughput technologies, DNA sequencing of...
In the first two projects, we focus on analyzing tumor somatic mutations data to study their prognos...
Archival tumor samples represent a rich resource of annotated specimens for translational genomics r...
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) is becoming a common approach for clinical testing of oncology spec...
Next generation sequencing (NGS) has enabled high throughput discovery of somatic mutations. Detecti...
SomaticSeq is an accurate somatic mutation detection pipeline implementing a stochastic boosting alg...
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 ...
Despite years of progress, mutation detection in cancer samples continues to require significant man...