Reliably Detecting Clinically Important Variants Requires Both Combined Variant Calls and Optimized Filtering Strategies
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Title
Reliably Detecting Clinically Important Variants Requires Both Combined Variant Calls and Optimized Filtering Strategies
Authors
Keywords
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Journal
PLoS One
Volume 10, Issue 11, Pages e0143199
Publisher
Public Library of Science (PLoS)
Online
2015-11-25
DOI
10.1371/journal.pone.0143199
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Note: Only part of the references are listed.- An analytical framework for optimizing variant discovery from personal genomes
- (2015) Gareth Highnam et al. Nature Communications
- Characterizing genetic variants for clinical action
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- ABRA: improved coding indel detection via assembly-based realignment
- (2014) Lisle E. Mose et al. BIOINFORMATICS
- BAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity
- (2014) Brandi L Cantarel et al. BMC BIOINFORMATICS
- Performance comparison of four exome capture systems for deep sequencing
- (2014) Chandra Sekhar Chilamakuri et al. BMC GENOMICS
- Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls
- (2014) Justin M Zook et al. NATURE BIOTECHNOLOGY
- Sequencing depth and coverage: key considerations in genomic analyses
- (2014) David Sims et al. NATURE REVIEWS GENETICS
- Performance comparison of SNP detection tools with illumina exome sequencing data—an assessment using both family pedigree information and sample-matched SNP array data
- (2014) Ming Yi et al. NUCLEIC ACIDS RESEARCH
- Targeted next generation sequencing identifies clinically actionable mutations in patients with melanoma
- (2014) William R. Jeck et al. Pigment Cell & Melanoma Research
- Ten years of next-generation sequencing technology
- (2014) Erwin L. van Dijk et al. TRENDS IN GENETICS
- Reducing INDEL calling errors in whole genome and exome sequencing data
- (2014) Han Fang et al. Genome Medicine
- Evaluation and Comparison of Multiple Aligners for Next-Generation Sequencing Data Analysis
- (2014) Jing Shang et al. Biomed Research International
- An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge
- (2014) Catherine A Brownstein et al. GENOME BIOLOGY
- Isaac: ultra-fast whole-genome secondary analysis on Illumina sequencing platforms
- (2013) Come Raczy et al. BIOINFORMATICS
- A survey of tools for variant analysis of next-generation genome sequencing data
- (2013) S. Pabinger et al. BRIEFINGS IN BIOINFORMATICS
- The causes and consequences of genetic heterogeneity in cancer evolution
- (2013) Rebecca A. Burrell et al. NATURE
- Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples
- (2013) Kristian Cibulskis et al. NATURE BIOTECHNOLOGY
- The role of replicates for error mitigation in next-generation sequencing
- (2013) Kimberly Robasky et al. NATURE REVIEWS GENETICS
- ClinVar: public archive of relationships among sequence variation and human phenotype
- (2013) Melissa J. Landrum et al. NUCLEIC ACIDS RESEARCH
- Comparison of Sequencing Platforms for Single Nucleotide Variant Calls in a Human Sample
- (2013) Aakrosh Ratan et al. PLoS One
- Variant Callers for Next-Generation Sequencing Data: A Comparison Study
- (2013) Xiangtao Liu et al. PLoS One
- Low concordance of multiple variant-calling pipelines: practical implications for exome and genome sequencing
- (2013) Jason O'Rawe et al. Genome Medicine
- Characterizing and measuring bias in sequence data
- (2013) Michael G Ross et al. GENOME BIOLOGY
- From targets to targeted therapies and molecular profiling in non-small cell lung carcinoma
- (2012) A. Thomas et al. ANNALS OF ONCOLOGY
- Bpipe: a tool for running and managing bioinformatics pipelines
- (2012) Simon P. Sadedin et al. BIOINFORMATICS
- Snakemake--a scalable bioinformatics workflow engine
- (2012) J. Koster et al. BIOINFORMATICS
- A tale of three next generation sequencing platforms: comparison of Ion torrent, pacific biosciences and illumina MiSeq sequencers
- (2012) Michael Quail et al. BMC GENOMICS
- MuSiC: Identifying mutational significance in cancer genomes
- (2012) N. D. Dees et al. GENOME RESEARCH
- Fast gapped-read alignment with Bowtie 2
- (2012) Ben Langmead et al. NATURE METHODS
- Evolution of the cancer genome
- (2012) Lucy R. Yates et al. NATURE REVIEWS GENETICS
- Consensus Rules in Variant Detection from Next-Generation Sequencing Data
- (2012) Peilin Jia et al. PLoS One
- Massively parallel sequencing of the mouse exome to accurately identify rare, induced mutations: an immediate source for thousands of new mouse models
- (2012) T. D. Andrews et al. Open Biology
- Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer
- (2012) Yan-Fang Guan et al. Chinese Journal of Cancer
- A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data
- (2011) H. Li BIOINFORMATICS
- VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R
- (2011) Hanbo Chen et al. BMC BIOINFORMATICS
- Optimized filtering reduces the error rate in detecting genomic variants by short-read sequencing
- (2011) Joke Reumers et al. NATURE BIOTECHNOLOGY
- Performance comparison of whole-genome sequencing platforms
- (2011) Hugo Y K Lam et al. NATURE BIOTECHNOLOGY
- Performance comparison of exome DNA sequencing technologies
- (2011) Michael J Clark et al. NATURE BIOTECHNOLOGY
- A comparative analysis of exome capture
- (2011) Jennifer S Parla et al. GENOME BIOLOGY
- Dindel: Accurate indel calls from short-read data
- (2010) C. A. Albers et al. GENOME RESEARCH
- The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
- (2010) A. McKenna et al. GENOME RESEARCH
- A map of human genome variation from population-scale sequencing
- (2010) Richard M. Durbin et al. NATURE
- Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
- (2010) Jeremy Goecks et al. GENOME BIOLOGY
- Fast and accurate short read alignment with Burrows-Wheeler transform
- (2009) H. Li et al. BIOINFORMATICS
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