SV-AUTOPILOT: optimized, automated construction of structural variation discovery and benchmarking pipelines

BACKGROUND: Many tools exist to predict structural variants (SVs), utilizing a variety of algorithms. However, they have largely been developed and tested on human germline or somatic (e.g. cancer) variation. It seems appropriate to exploit this wealth of technology available for humans also for oth...

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Detalles Bibliográficos
Autores principales: Leung, Wai Yi, Marschall, Tobias, Paudel, Yogesh, Falquet, Laurent, Mei, Hailiang, Schönhuth, Alexander, Maoz (Moss), Tiffanie Yael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4520269/
https://www.ncbi.nlm.nih.gov/pubmed/25887570
http://dx.doi.org/10.1186/s12864-015-1376-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4520269/
https://www.ncbi.nlm.nih.gov/pubmed/25887570
http://dx.doi.org/10.1186/s12864-015-1376-9

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