Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,635

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

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

Open access
Saunders, Christopher T., Wong, Wendy S. W., Swamy, Sajani, Becq, Jennifer, Murray, Lisa J., Cheetham, R. Keira·2012·Bioinformatics

Abstract

Motivation: Whole genome and exome sequencing of matched tumor–normal sample pairs is becoming routine in cancer research. The consequent increased demand for somatic variant analysis of paired samples requires methods specialized to model this problem so as to sensitively call variants at any practical level of tumor impurity. Results: We describe Strelka, a method for somatic SNV and small indel detection from sequencing data of matched tumor–normal samples. The method uses a novel Bayesian approach which represents continuous allele frequencies for both tumor and normal samples, while leveraging the expected genotype structure of the normal. This is achieved by representing the normal sample as a mixture of germline variation with noise, and representing the tumor sample as a mixture of the normal sample with somatic variation. A natural consequence of the model structure is that sensitivity can be maintained at high tumor impurity without requiring purity estimates. We demonstrate that the method has superior accuracy and sensitivity on impure samples compared with approaches based on either diploid genotype likelihoods or general allele-frequency tests. Availability: The Strelka workflow source code is available at ftp://strelka@ftp.illumina.com/. Contact: csaunders@illumina.com Supplementary information: Supplementary data are available at Bioinformatics online

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/bioinformatics/bts271

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

See all 1,635

Metadata

Authors
Saunders, C. T., Wong, W. S. W., Swamy, S., Becq, J., Murray, L. J., & Cheetham, R. K.
Venue
Bioinformatics
Published
2012-05-10
Volume
28
Issue
14
Pages
1811-1817
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2146290346
Cited by
1,635
References
4
FWCI
12.63
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs. https://app.cochat.ai/papers/10.1093/bioinformatics/bts271
The paper
Saunders, C. T., Wong, W. S. W., Swamy, S., Becq, J., Murray, L. J., & Cheetham, R. K. (2012). Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs. Bioinformatics. https://doi.org/10.1093/bioinformatics/bts271

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.