000114884 001__ 114884
000114884 005__ 20190416055708.0
000114884 0247_ $$2doi$$a10.1093/nar/29.1.148
000114884 037__ $$aARTICLE
000114884 245__ $$atrEST, trGEN and Hits: access to databases of predicted protein sequences
000114884 269__ $$a2001
000114884 260__ $$c2001
000114884 336__ $$aJournal Articles
000114884 500__ $$aSwiss Institute of Bioinformatics, Ludwig Institute for Cancer Research, Chemin des Boveresses 155, CH-1066, Epalinges s/Lausanne, Switzerland.
000114884 520__ $$aHigh throughput genome (HTG) and expressed sequence tag (EST) sequences are currently the most abundant nucleotide sequence classes in the public database. The large volume, high degree of fragmentation and lack of gene structure annotations prevent efficient and effective searches of HTG and EST data for protein sequence homologies by standard search methods. Here, we briefly describe three newly developed resources that should make discovery of interesting genes in these sequence classes easier in the future, especially to biologists not having access to a powerful local bioinformatics environment. trEST and trGEN are regularly regenerated databases of hypothetical protein sequences predicted from EST and HTG sequences, respectively. Hits is a web-based data retrieval and analysis system providing access to precomputed matches between protein sequences (including sequences from trEST and trGEN) and patterns and profiles from Prosite and Pfam. The three resources can be accessed via the Hits home page (http://hits. isb-sib.ch).
000114884 700__ $$aPagni, M.
000114884 700__ $$aIseli, C.
000114884 700__ $$aJunier, T.
000114884 700__ $$aFalquet, L.
000114884 700__ $$aJongeneel, V.
000114884 700__ $$g113607$$aBucher, P.$$0244404
000114884 773__ $$j29$$tNucleic Acids Res$$k1$$q148-51
000114884 8564_ $$uhttps://infoscience.epfl.ch/record/114884/files/Nucl.%20Acids%20Res.-2001-Pagni-148-51.pdf$$zPublisher's version$$s87576$$yPublisher's version
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000114884 917Z8 $$x182396
000114884 937__ $$aGR-BUCHER-ARTICLE-2001-006
000114884 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000114884 980__ $$aARTICLE