Combinatorial Algorithms for Structural Variation Detection …
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- DOI 10.1007/978-3-642-02008-7_16
- PMID https://pubmed.ncbi.nlm.nih.gov/19447966
- OpenAlex ID W1790474971
- Type Conference-paper
- Language EN
- Published 01 Jan 2009
- Volume 19 (7)
- Pages 1270–1278
- Source Lecture notes in computer science
- Publisher Springer Science+Business Media
- FWCI 262.78
- Countries 2
- Institutions 3
- Added 24 Jun 2016
- Updated 27 Oct 2026
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Combinatorial Algorithms for Structural Variation Detection in High Throughput Sequenced Genomes
Conference-paper 2009 EN Bronze
Recent studies show that along with single nucleotide polymorphisms and small indels, larger structural variants among human individuals are common. The Human Genome Structural Variation Project aims to identify and classify deletions, insertions, and inversions (>5 Kbp) in a small number of normal individuals with a fosmid-based paired-end sequencing approach using traditional sequencing technolo…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
4 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Fereydoun Hormozdiari | Simon Fraser University (CA) | |
| 2 | Can Alkan | Howard Hughes Medical Institut… (US) University of Washington (US) | |
| 3 | Evan E. Eichler Corresponding | Howard Hughes Medical Institut… (US) University of Washington (US) | |
| 4 | S. Cenk Şahinalp Corresponding | Simon Fraser University (CA) |
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