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Pysim-sv: a package for simulating structural variation data with GC-biases
BACKGROUND: Structural variations (SVs) are wide-spread in human genomes and may have important implications in disease-related and evolutionary studies. High-throughput sequencing (HTS) has become a major platform for SV detection and simulation serves as a powerful and cost-effective approach for...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5374556/ https://ncbi.nlm.nih.gov/pubmed/28361688 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1464-8 |
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