Title |
Resolving complex structural genomic rearrangements using a randomized approach
|
---|---|
Published in |
Genome Biology, June 2016
|
DOI | 10.1186/s13059-016-0993-1 |
Pubmed ID | |
Authors |
Xuefang Zhao, Sarah B. Emery, Bridget Myers, Jeffrey M. Kidd, Ryan E. Mills |
Abstract |
Complex chromosomal rearrangements are structural genomic alterations involving multiple instances of deletions, duplications, inversions, or translocations that co-occur either on the same chromosome or represent different overlapping events on homologous chromosomes. We present SVelter, an algorithm that identifies regions of the genome suspected to harbor a complex event and then resolves the structure by iteratively rearranging the local genome structure, in a randomized fashion, with each structure scored against characteristics of the observed sequencing data. SVelter is able to accurately reconstruct complex chromosomal rearrangements when compared to well-characterized genomes that have been deeply sequenced with both short and long reads. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 33% |
United States | 2 | 33% |
Belgium | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 50% |
Members of the public | 2 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 2% |
Korea, Republic of | 1 | 1% |
Netherlands | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 83 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 23 | 26% |
Researcher | 18 | 20% |
Student > Bachelor | 9 | 10% |
Student > Master | 9 | 10% |
Student > Doctoral Student | 5 | 6% |
Other | 9 | 10% |
Unknown | 15 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 25 | 28% |
Agricultural and Biological Sciences | 25 | 28% |
Computer Science | 10 | 11% |
Medicine and Dentistry | 5 | 6% |
Mathematics | 2 | 2% |
Other | 6 | 7% |
Unknown | 15 | 17% |