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InvBFM: finding genomic inversions from high-throughput sequence data based on feature mining
BACKGROUND: Genomic inversion is one type of structural variations (SVs) and is known to play an important biological role. An established problem in sequence data analysis is calling inversions from high-throughput sequence data. It is more difficult to detect inversions because they are surrounded...
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| Publié dans: | BMC Genomics |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7057458/ https://ncbi.nlm.nih.gov/pubmed/32138660 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-020-6585-1 |
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