Computational methods for discovering structural variation with next-generation sequencing
Published 2009 View Full Article
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Title
Computational methods for discovering structural variation with next-generation sequencing
Authors
Keywords
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Journal
NATURE METHODS
Volume 6, Issue 11, Pages S13-S20
Publisher
Springer Nature
Online
2009-10-21
DOI
10.1038/nmeth.1374
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Related references
Note: Only part of the references are listed.- Combinatorial algorithms for structural variation detection in high-throughput sequenced genomes
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- PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data
- (2009) Jan O Korbel et al. GENOME BIOLOGY
- Evaluation of next generation sequencing platforms for population targeted sequencing studies
- (2009) Olivier Harismendy et al. GENOME BIOLOGY
- A robust framework for detecting structural variations in a genome
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- Analysis of copy number variants and segmental duplications in the human genome: Evidence for a change in the process of formation in recent evolutionary history
- (2008) P. M. Kim et al. GENOME RESEARCH
- Mapping and sequencing of structural variation from eight human genomes
- (2008) Jeffrey M. Kidd et al. NATURE
- Accurate whole human genome sequencing using reversible terminator chemistry
- (2008) David R. Bentley et al. NATURE
- Next-generation DNA sequencing
- (2008) Jay Shendure et al. NATURE BIOTECHNOLOGY
- Systematic assessment of copy number variant detection via genome-wide SNP genotyping
- (2008) Gregory M Cooper et al. NATURE GENETICS
- Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing
- (2008) Peter J Campbell et al. NATURE GENETICS
- Integrated detection and population-genetic analysis of SNPs and copy number variation
- (2008) Steven A McCarroll et al. NATURE GENETICS
- High-resolution mapping of copy-number alterations with massively parallel sequencing
- (2008) Derek Y Chiang et al. NATURE METHODS
- Substantial biases in ultra-short read data sets from high-throughput DNA sequencing
- (2008) J. C. Dohm et al. NUCLEIC ACIDS RESEARCH
- Real-Time DNA Sequencing from Single Polymerase Molecules
- (2008) J. Eid et al. SCIENCE
- Evaluation of Paired-End Sequencing Strategies for Detection of Genome Rearrangements in Cancer
- (2008) Ali Bashir et al. PLoS Computational Biology
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