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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057458/ https://www.ncbi.nlm.nih.gov/pubmed/32138660 http://dx.doi.org/10.1186/s12864-020-6585-1 |