ICAR Research Data Repository for Knowledge Management
EGPred: prediction of eukaryotic genes using ab initio methods after combining with sequence similarity approaches.
DIR@IMTECH: CSIR-Institute of Microbial Technology
View Archive Info| Field | Value | |
| Title |
EGPred: prediction of eukaryotic genes using ab initio methods after combining with sequence similarity approaches.
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| Creator |
Issac, Biju
Raghava, G.P.S. |
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| Subject |
QR Microbiology
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| Description |
EGPred is a Web-based server that combines ab initio methods and similarity searches to predict genes, particularly exon regions, with high accuracy. The EGPred program proceeds in the following steps: (1) an initial BLASTX search of genomic sequence against the RefSeq database is used to identify protein hits with an E-value
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| Publisher |
Cold Spring Harbor Laboratory Press
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| Date |
2004-09
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://crdd.osdd.net/open/199/1/raghava2004.1.pdf
Issac, Biju and Raghava, G.P.S. (2004) EGPred: prediction of eukaryotic genes using ab initio methods after combining with sequence similarity approaches. Genome research, 14 (9). pp. 1756-66. ISSN 1088-9051 |
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| Relation |
http://genome.cshlp.org/content/14/9/1756.abstract
http://crdd.osdd.net/open/199/ |
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