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...

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Detalles Bibliográficos
Autores principales: Manconi, Andrea, Manca, Emanuele, Moscatelli, Marco, Gnocchi, Matteo, Orro, Alessandro, Armano, Giuliano, Milanesi, Luciano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Bioengineering and Biotechnology
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

Internet

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

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