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G-CNV: A GPU-Based Tool for Preparing Data to Detect CNVs with Read-Depth Methods
Copy number variations (CNVs) are the most prevalent types of structural variations (SVs) in the human genome and are involved in a wide range of common human diseases. Different computational methods have been devised to detect this type of SVs and to study how they are implicated in human diseases...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354384/ https://www.ncbi.nlm.nih.gov/pubmed/25806367 http://dx.doi.org/10.3389/fbioe.2015.00028 |