Cargando…
CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks
Many structural variations (SVs) detection methods have been proposed due to the popularization of next-generation sequencing (NGS). These SV calling methods use different SV-property-dependent features; however, they all suffer from poor accuracy when running on low coverage sequences. The union of...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467383/ https://www.ncbi.nlm.nih.gov/pubmed/28630866 http://dx.doi.org/10.1155/2017/6375059 |