Experiences with workflows for automating data-intensive bioinformatics

High-throughput technologies, such as next-generation sequencing, have turned molecular biology into a data-intensive discipline, requiring bioinformaticians to use high-performance computing resources and carry out data management and analysis tasks on large scale. Workflow systems can be useful to...

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Detalles Bibliográficos
Autores principales: Spjuth, Ola, Bongcam-Rudloff, Erik, Hernández, Guillermo Carrasco, Forer, Lukas, Giovacchini, Mario, Guimera, Roman Valls, Kallio, Aleksi, Korpelainen, Eija, Kańduła, Maciej M, Krachunov, Milko, Kreil, David P, Kulev, Ognyan, Łabaj, Paweł P., Lampa, Samuel, Pireddu, Luca, Schönherr, Sebastian, Siretskiy, Alexey, Vassilev, Dimitar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539931/
https://www.ncbi.nlm.nih.gov/pubmed/26282399
http://dx.doi.org/10.1186/s13062-015-0071-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539931/
https://www.ncbi.nlm.nih.gov/pubmed/26282399
http://dx.doi.org/10.1186/s13062-015-0071-8

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