Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs
By Christopher T. Saunders, Wendy S. W. Wong, Sajani Swamy, Jennifer Becq, Lisa Murray, R. K. Cheetham, Dr. Michael Brudno. Bioinform., 2012
1,553 citations recorded by the source corpus.
Subfields: Cancer Research, Genetics, Pathology and Forensic Medicine
View Paper: https://www.semanticscholar.org/paper/6141d1628e783582774fe1da03b25de7df384e0b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cancer Research
- Daniel C. Koboldt
- Gad Getz
- Elaine R. Mardis
- Eric S. Lander
- Matthew Meyerson
- Kristian Cibulskis
- Arul M. Chinnaiyan
- M. Lawrence
In Genetics
- Daniel C. Koboldt
- Marco A. Marra
- Elaine R. Mardis
- Peter W. Laird
- Hui Shen
- M. Wiznerowicz
- Chip Stewart
- Christopher Sander
In Pathology and Forensic Medicine
- Daniel C. Koboldt
- H. B. EL‐SERAG
- John N. Weinstein
- Edward L. Giovannucci
- Peter W. Laird
- David Haussler
- S. Baylin
Citations in the corpus
- A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity. (2018, neutral): “0.14) Saunders et al., 2012 ftp://ftp.illumina.com/v1-branch/v1.”
- pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens (2016, positive): “(3) Strelka version 1.0.10 [35] ( params: isSkip-DepthFilters = 1 ).”
- Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma (2017, positive): “Multi-Center Mutation Calling Mutations were called by five production or analysis centers within the TCGA Network: Human Genome Sequencing Center (Comprehensive And Reproducible Nucleotide Alterations in Cancer–CARNAC), UCSC (RADIA), BCGSC (Strelka), and Broad Institute (MuTect) as described below.”
- Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer (2018, background): “As drugs become increasingly clinically available to target such cancer-driving pathway targets as ALK, EGFR, ERBB2, ERα, KIT, BRAF, and ABL1, the traditional system of anatomic cancer classification should be supplemented by a classification system based on molecular alterations shared by tumors ac”
- Isaac: ultra-fast whole-genome secondary analysis on Illumina sequencing platforms (2013, methodology): “We also demonstrate that Isaac can successfully detect a clinically deleterious variant in a neonatal sample (Saunders et al., 2012).”