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Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIME

Summary: Analysing large amounts of data generated by next-generation sequencing (NGS) technologies is difficult for researchers or clinicians without computational skills. They are often compelled to delegate this task to computer biologists working with command line utilities. The availability of...

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Detalles Bibliográficos
Autores principales: Lindenbaum, Pierre, Le Scouarnec, Solena, Portero, Vincent, Redon, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3208396/
https://www.ncbi.nlm.nih.gov/pubmed/21984761
http://dx.doi.org/10.1093/bioinformatics/btr554
Descripción
Sumario:Summary: Analysing large amounts of data generated by next-generation sequencing (NGS) technologies is difficult for researchers or clinicians without computational skills. They are often compelled to delegate this task to computer biologists working with command line utilities. The availability of easy-to-use tools will become essential with the generalization of NGS in research and diagnosis. It will enable investigators to handle much more of the analysis. Here, we describe Knime4Bio, a set of custom nodes for the KNIME (The Konstanz Information Miner) interactive graphical workbench, for the interpretation of large biological datasets. We demonstrate that this tool can be utilized to quickly retrieve previously published scientific findings. Availability: http://code.google.com/p/knime4bio/. Contact: richard.redon@univ-nantes.fr