A high throughput approach to keep alive a web-based database system for multiple search among published bioinformatics tools and databases

Atlamazoglou, V; Thireou, T; Alexandridou, A; Spyrou, G

dc.contributor.author	Atlamazoglou, V	en
dc.contributor.author	Thireou, T	en
dc.contributor.author	Alexandridou, A	en
dc.contributor.author	Spyrou, G	en
dc.date.accessioned	2014-03-01T02:51:32Z
dc.date.available	2014-03-01T02:51:32Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35535
dc.subject.other	Automatic retrieval	en
dc.subject.other	Bioinformatics tools	en
dc.subject.other	Data sets	en
dc.subject.other	High throughput	en
dc.subject.other	High-throughput approaches	en
dc.subject.other	Information updates	en
dc.subject.other	Keep-alive	en
dc.subject.other	Modern biology	en
dc.subject.other	Multiple search	en
dc.subject.other	Production rates	en
dc.subject.other	Science and Technology	en
dc.subject.other	Standard protocols	en
dc.subject.other	WEB-BASED database	en
dc.subject.other	Database systems	en
dc.subject.other	Information services	en
dc.subject.other	Internet protocols	en
dc.subject.other	Throughput	en
dc.subject.other	Bioinformatics	en
dc.title	A high throughput approach to keep alive a web-based database system for multiple search among published bioinformatics tools and databases	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696709	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696709	en
heal.identifier.secondary	4696709	en
heal.publicationDate	2008	en
heal.abstract	Since modern Biology has been transformed to a quantitative science dealing with tremendous amounts of data, the applications of information science and technology on Biology, i.e. Bioinformatics, are so many that they comprise a separate dataset needing organization and indexing for optimum search and information retrieval. Metabasis, a web- based database system for organizing and maintaining information relevant to published bioinformatics tools and databases has been developed by our group. However, such an effort requires rapid and massive information update, an issue quite difficult since the bioinformatics tools production rate is very high and there is no standard protocol in the way they are presented in the literature. We present here a high throughput automatic retrieval procedure to keep alive a database of this kind, using certain methodology for automatic downloading, parsing and filtering data from the related literature.	en
heal.journalName	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008	en
dc.identifier.doi	10.1109/BIBE.2008.4696709	en