MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
about
Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectivesPersonal genome sequencing: current approaches and challengesNucleotide-resolution analysis of structural variants using BreakSeq and a breakpoint librarySnoopCGH: software for visualizing comparative genomic hybridization dataCNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencingAnalysis of variable retroduplications in human populations suggests coupling of retrotransposition to cell divisionA genome-wide analysis of array-based comparative genomic hybridization (CGH) data to detect intra-species variations and evolutionary relationshipsCopynumber: Efficient algorithms for single- and multi-track copy number segmentation.Transcriptional landscape estimation from tiling array data using a model of signal shift and drift.FACADE: a fast and sensitive algorithm for the segmentation and calling of high resolution array CGH dataWavelet-based detection of transcriptional activity on a novel Staphylococcus aureus tiling microarray.AGE: defining breakpoints of genomic structural variants at single-nucleotide resolution, through optimal alignments with gap excisionPersonal genomes, quantitative dynamic omics and personalized medicineIdentifying representative drug resistant mutants of HIV.DNA sequencing: clinical applications of new DNA sequencing technologies.Somatic copy number mosaicism in human skin revealed by induced pluripotent stem cells.Vascular calcification in diabetes: mechanisms and implications.Whole-genome CNV analysis: advances in computational approachesCertified DNA Reference Materials to Compare HER2 Gene Amplification Measurements Using Next-Generation Sequencing Methods.Sensitive and accurate detection of copy number variants using read depth of coverage.
P2860
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P2860
MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
description
2008 nî lūn-bûn
@nan
2008年の論文
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2008年学术文章
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2008年学术文章
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2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
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2008年学术文章
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2008年學術文章
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2008年學術文章
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name
MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
@en
MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
@nl
type
label
MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
@en
MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
@nl
prefLabel
MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
@en
MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
@nl
P2860
P50
P356
P1433
P1476
MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
@en
P2093
Lu-Yong Wang
Michael Snyder
P2860
P304
P356
10.1101/GR.080069.108
P577
2008-11-26T00:00:00Z