Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization.
about
GROM-RD: resolving genomic biases to improve read depth detection of copy number variantsCOPS: a sensitive and accurate tool for detecting somatic Copy Number Alterations using short-read sequence data from paired samplesGenome and transcriptome sequencing of the halophilic fungus Wallemia ichthyophaga: haloadaptations present and absentComputational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectivesPractical aspects of NGS-based pathways analysis for personalized cancer science and medicineComputational methods for detecting copy number variations in cancer genome using next generation sequencing: principles and challengesFrequent Somatic Mutation in Adult Intestinal Stem Cells Drives Neoplasia and Genetic Mosaicism during AgingSummarizing and correcting the GC content bias in high-throughput sequencingCONSERTING: integrating copy-number analysis with structural-variation detection.A survey of copy-number variation detection tools based on high-throughput sequencing data.Modeling read counts for CNV detection in exome sequencing data.A Poisson hierarchical modelling approach to detecting copy number variation in sequence coverage data.HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq data.Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data.CLImAT: accurate detection of copy number alteration and loss of heterozygosity in impure and aneuploid tumor samples using whole-genome sequencing data.Multi-factor data normalization enables the detection of copy number aberrations in amplicon sequencing data.SoloDel: a probabilistic model for detecting low-frequent somatic deletions from unmatched sequencing data.A Sparse Model Based Detection of Copy Number Variations From Exome Sequencing DataCRCDA--Comprehensive resources for cancer NGS data analysis.Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants.A Survey of Computational Tools to Analyze and Interpret Whole Exome Sequencing DataEssential role for centromeric factors following p53 loss and oncogenic transformationseqCNA: an R package for DNA copy number analysis in cancer using high-throughput sequencing.A global analysis of CNVs in swine using whole genome sequence data and association analysis with fatty acid composition and growth traits.Extensive Copy Number Variation in Fermentation-Related Genes Among Saccharomyces cerevisiae Wine Strains.Tumor haplotype assembly algorithms for cancer genomics.Patchwork: allele-specific copy number analysis of whole-genome sequenced tumor tissue.Identification of structural variation in mouse genomes.cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rateCorrecting for cancer genome size and tumour cell content enables better estimation of copy number alterations from next-generation sequence data.Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing dataGC-content normalization for RNA-Seq dataWhole-genome sequencing and genetic variant analysis of a Quarter Horse mareCommon copy number variation detection from multiple sequenced samplesCONTRA: copy number analysis for targeted resequencing.Effective normalization for copy number variation detection from whole genome sequencing.DNA copy number analysis of fresh and formalin-fixed specimens by shallow whole-genome sequencing with identification and exclusion of problematic regions in the genome assembly.The mutation rate of mycobacterial repetitive unit loci in strains of M. tuberculosis from cynomolgus macaque infection.Comparative studies of copy number variation detection methods for next-generation sequencing technologiesCNV-TV: a robust method to discover copy number variation from short sequencing reads.
P2860
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P2860
Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization.
description
2010 nî lūn-bûn
@nan
2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Control-free calling of copy n ...... sing GC-content normalization.
@ast
Control-free calling of copy n ...... sing GC-content normalization.
@en
type
label
Control-free calling of copy n ...... sing GC-content normalization.
@ast
Control-free calling of copy n ...... sing GC-content normalization.
@en
prefLabel
Control-free calling of copy n ...... sing GC-content normalization.
@ast
Control-free calling of copy n ...... sing GC-content normalization.
@en
P2860
P50
P356
P1433
P1476
Control-free calling of copy n ...... sing GC-content normalization.
@en
P2093
Kevin Bleakley
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ635
P407
P50
P577
2010-11-15T00:00:00Z