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Titolo
Visual Analysis Tool in Comparative Genomics
Autor(es)
Soggetto
Computer Science
Fecha de publicación
2012
Editore
Springer Science + Business Media
Citación.
Advances in Intelligent and Soft Computing 6th International Conference on Practical Applications of Computational Biology & Bioinformatics. pp. 121-127.
Abstract
Detecting regions with mutations associated with different pathologies is an important step in selecting relevant genes, proteins or diseases. The corresponding information of the mutations and genes is distributed in different public sources and databases, so it is necessary to use systems that can contrast different sources and select conspicuous information. This work presents a visual analysis tool that automatically selects relevant segments and the associated genes or proteins that could determine different pathologies.
URI
ISSN
http://id.crossref.org/isbn/978-3-642-28838-8(Print)/ http://id.crossref.org/isbn/978-3-642-28839-5(Online)
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