The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
DELLY: structural variant discovery by integrated paired-end and split-read analysis
Open accessAbstract
Motivation: The discovery of genomic structural variants (SVs) at high sensitivity and specificity is an essential requirement for characterizing naturally occurring variation and for understanding pathological somatic rearrangements in personal genome sequencing data. Of particular interest are integrated methods that accurately identify simple and complex rearrangements in heterogeneous sequencing datasets at single-nucleotide resolution, as an optimal basis for investigating the formation mechanisms and functional consequences of SVs. Results: We have developed an SV discovery method, called DELLY, that integrates short insert paired-ends, long-range mate-pairs and split-read alignments to accurately delineate genomic rearrangements at single-nucleotide resolution. DELLY is suitable for detecting copy-number variable deletion and tandem duplication events as well as balanced rearrangements such as inversions or reciprocal translocations. DELLY, thus, enables to ascertain the full spectrum of genomic rearrangements, including complex events. On simulated data, DELLY compares favorably to other SV prediction methods across a wide range of sequencing parameters. On real data, DELLY reliably uncovers SVs from the 1000 Genomes Project and cancer genomes, and validation experiments of randomly selected deletion loci show a high specificity. Availability: DELLY is available at www.korbel.embl.de/software.html Contact: tobias.rausch@embl.de
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The Sequence Alignment/Map format and SAMtools
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A map of human genome variation from population-scale sequencing.
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Massive genomic rearrangement acquired in a single catastrophic event during cancer development
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International network of cancer genome projects
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Origins and functional impact of copy number variation in the human genome
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Cited by
Zehir, A., Benayed, R., Shah, R. H., Syed, A., Middha, S., Kim, H. R., Srinivasan, P., Gao, J., Chakravarty, D., Devlin, S. M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4333 · Cited by 3,380
Pan-cancer analysis of whole genomes
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Aaltonen, L. A., Abascal, F., Abeshouse, A., Aburatani, H., Adams, D. J., Agrawal, N., Ahn, K. S., Ahn, S.-M., Aikata, H., et al. (2020) · Nature · doi:10.1038/s41586-020-1969-6 · Cited by 3,064
Self-citation(2015) · doi:10.1093/bioinformatics/btv710 · Cited by 2,234
Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT)
Cheng, D. T., Mitchell, T. N., Zehir, A., Shah, R. H., Benayed, R., Syed, A., Chandramohan, R., Liu, Z. Y., Won, H. H., Scott, S. N., et al. (2015) · The Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2014.12.006 · Cited by 2,119
Wenger, A. M., Peluso, P., Rowell, W. J., Chang, P.-C., Hall, R. J., Concepcion, G. T., Ebler, J., Fungtammasan, A., Kolesnikov, A., Olson, N. D., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0217-9 · Cited by 1,841
Metadata
- Authors
- Rausch, T., Zichner, T., Schlattl, A., Stütz, A. M., Benes, V., & Korbel, J. O.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-09-03
- Volume
- 28
- Issue
- 18
- Pages
- i333-i339
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2146005104
- Cited by
- 2,459
- References
- 9
- FWCI
- 32.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
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