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PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data
Personal-genomics endeavors, such as the 1000 Genomes project, are generating maps of genomic structural variants by analyzing ends of massively sequenced genome fragments. To process these we developed Paired-End Mapper (PEMer; ). This comprises an analysis pipeline, compatible with several next-ge...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2009
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2688268/ https://ncbi.nlm.nih.gov/pubmed/19236709 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2009-10-2-r23 |
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