TY  - JOUR
A1  - Pagni, Marco
A1  - Iseli, Christian
A1  - Junier, Thomas
A1  - Falquet, Laurent
A1  - Jongeneel, Victor
A1  - Bucher, Philipp
T1  - trEST, trGEN and Hits: access to databases of predicted protein sequences
Y1  - 2001/1/1
JF  - Nucleic Acids Research
JO  - Nucl. Acids Res.
SP  - 148
EP  - 151
VL  - 29
IS  - 1
UR  - http://nar.oxfordjournals.org/cgi/content/abstract/29/1/148
N2  - High 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).

N1  - 10.1093/nar/29.1.148
ER  -