Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs

Christopher T. Saunders; Wendy S.W. Wong; Sajani Swamy; Jennifer Becq; Lisa Murray; R. Keira Cheetham

doi:10.1093/bioinformatics/bts271

May 10, 2012BioinformaticsOpen Access

Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs

View Full Paper

Ask AI

Bookmark

Share

Key Points

To develop Strelka, an accurate and efficient algorithm for identifying somatic small variants, including single nucleotide variants and small indels, from paired tumor and normal sequencing data.
Engineered a probabilistic model to evaluate sequence data simultaneously from matched tumor and normal samples.
Designed error-modeling strategies to distinguish genuine low-frequency somatic mutations from normal sample contamination and platform-specific sequencing artifacts.
Facilitated highly sensitive and specific identification of somatic single nucleotide variants and small indels in matched sequencing pairs.
Demonstrated robust detection performance across variable levels of tumor cellularity and sequencing coverage depth.

No abstract yet

We only have this paper's title and publication details.

Read it at the source

Implication

Computational study introduces Strelka for somatic small-variant detection in matched tumor–normal sequencing data, improving accuracy for cancer genomics research.

Abstract

csaunders@illumina.com

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Saunders et al. (2012) studied this question.

synapsesocial.com/papers/69d9d8fc84371aa676a3c139 https://doi.org/10.1093/bioinformatics/bts271

View Full Paper

Ask AI

Bookmark

Share

Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

Keep reading

More related papers

More from Bioinformatics

Keep reading

More related papers

More from Bioinformatics