A comparative analysis of algorithms for somatic SNV detection in cancer.
about
Practical aspects of NGS-based pathways analysis for personalized cancer science and medicineBAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity.Evaluation of Nine Somatic Variant Callers for Detection of Somatic Mutations in Exome and Targeted Deep Sequencing Data.Detecting somatic point mutations in cancer genome sequencing data: a comparison of mutation callersComparison of somatic mutation calling methods in amplicon and whole exome sequence data.OTG-snpcaller: an optimized pipeline based on TMAP and GATK for SNP calling from ion torrent dataDetailed simulation of cancer exome sequencing data reveals differences and common limitations of variant callers.Review of current methods, applications, and data management for the bioinformatics analysis of whole exome sequencing.In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth dataIntersect-then-combine approach: improving the performance of somatic variant calling in whole exome sequencing data using multiple aligners and callers.Deconvolving tumor purity and ploidy by integrating copy number alterations and loss of heterozygosity.Integrated RNA and DNA sequencing improves mutation detection in low purity tumors.Detailed comparison of two popular variant calling packages for exome and targeted exon studiesRADIA: RNA and DNA integrated analysis for somatic mutation detection.Toward better benchmarking: challenge-based methods assessment in cancer genomics.Accurate detection of subclonal single nucleotide variants in whole genome amplified and pooled cancer samples using HaloPlex target enrichment.MixClone: a mixture model for inferring tumor subclonal populations.High-depth sequencing of over 750 genes supports linear progression of primary tumors and metastases in most patients with liver-limited metastatic colorectal cancer.SCNVSim: somatic copy number variation and structure variation simulatorAmplicon sequencing of colorectal cancer: variant calling in frozen and formalin-fixed samples.Evaluation of Hybridization Capture Versus Amplicon-Based Methods for Whole-Exome SequencingExScalibur: A High-Performance Cloud-Enabled Suite for Whole Exome Germline and Somatic Mutation Identification.An ensemble approach to accurately detect somatic mutations using SomaticSeqOptimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing dataIdentification of Low-Confidence Regions in the Pig Reference Genome (Sscrofa10.2).TruePrime is a novel method for whole-genome amplification from single cells based on TthPrimPolToward better understanding of artifacts in variant calling from high-coverage samples.The hidden genomic landscape of acute myeloid leukemia: subclonal structure revealed by undetected mutations.A primer on precision medicine informatics.Differential DNA mismatch repair underlies mutation rate variation across the human genome.Preliminary Application of Precision Genomic Medicine Detecting Gene Variation in Patients with Multifocal Osteosarcoma.Comprehensive benchmarking of SNV callers for highly admixed tumor data.Identification and Characterization of Neoantigens As Well As Respective Immune Responses in Cancer Patients.Identification of potentially oncogenic alterations from tumor-only samples reveals Fanconi anemia pathway mutations in bladder carcinomas.Xome-Blender: A novel cancer genome simulator.A review of somatic single nucleotide variant calling algorithms for next-generation sequencing data.
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A comparative analysis of algorithms for somatic SNV detection in cancer.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 09 July 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
A comparative analysis of algorithms for somatic SNV detection in cancer.
@en
A comparative analysis of algorithms for somatic SNV detection in cancer.
@nl
type
label
A comparative analysis of algorithms for somatic SNV detection in cancer.
@en
A comparative analysis of algorithms for somatic SNV detection in cancer.
@nl
prefLabel
A comparative analysis of algorithms for somatic SNV detection in cancer.
@en
A comparative analysis of algorithms for somatic SNV detection in cancer.
@nl
P2093
P2860
P50
P356
P1433
P1476
A comparative analysis of algorithms for somatic SNV detection in cancer
@en
P2093
Garique Glonek
Susan Branford
Wendy T Parker
P2860
P304
P356
10.1093/BIOINFORMATICS/BTT375
P407
P577
2013-07-09T00:00:00Z