Visual Analysis Tool in Comparative Genomics

De Paz, Juan F.; Zato Domínguez, Davinia Carolina; Abáigar Alvarado, María; Rodríguez Vicente, Ana E.; Benito Sánchez, Rocío; Hernández Rivas, Jesús María

Título

dc.contributor.author	De Paz, Juan F.
dc.contributor.author	Zato Domínguez, Davinia Carolina
dc.contributor.author	Abáigar Alvarado, María
dc.contributor.author	Rodríguez Vicente, Ana E.
dc.contributor.author	Benito Sánchez, Rocío
dc.contributor.author	Hernández Rivas, Jesús María
dc.date.accessioned	2017-09-06T09:14:12Z
dc.date.available	2017-09-06T09:14:12Z
dc.date.issued	2012
dc.identifier.citation	Advances in Intelligent and Soft Computing 6th International Conference on Practical Applications of Computational Biology & Bioinformatics. pp. 121-127.
dc.identifier.issn	http://id.crossref.org/isbn/978-3-642-28838-8(Print)/ http://id.crossref.org/isbn/978-3-642-28839-5(Online)
dc.identifier.uri	http://dx.doi.org/10.1007/978-3-642-28839-5_14
dc.identifier.uri	http://hdl.handle.net/10366/134852
dc.description.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.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Science + Business Media
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	Visual Analysis Tool in Comparative Genomics
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess