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Treffer: Gene structure identification with MyGV using cDNA evidence and protein homologs to improve ab initio predictions.

Title:
Gene structure identification with MyGV using cDNA evidence and protein homologs to improve ab initio predictions.
Authors:
Zhu W; Department of Zoology and Genetics, Iowa State University, Ames, IA 50011, USA., Brendel V
Source:
Bioinformatics (Oxford, England) [Bioinformatics] 2002 May; Vol. 18 (5), pp. 761-2.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.
Language:
English
Journal Info:
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Print ISSN: 1367-4803 (Print) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Imprint Name(s):
Original Publication: Oxford : Oxford University Press, c1998-
MeSH Terms:
Data Display* , Database Management Systems* , Databases, Genetic* , Software* , User-Computer Interface*, Information Storage and Retrieval/*methods , Sequence Analysis, DNA/*methods, Animals ; Base Sequence ; Databases, Nucleic Acid ; Drosophila/genetics ; Genome ; Internet ; Molecular Sequence Data ; Sequence Homology
Grant Information:
5R44 HG 01850-03 United States HG NHGRI NIH HHS
Entry Date(s):
Date Created: 20020607 Date Completed: 20020923 Latest Revision: 20190513
Update Code:
20250114
DOI:
10.1093/bioinformatics/18.5.761
PMID:
12050073
Database:
MEDLINE

Weitere Informationen

Unlabelled: MyGV is an application to visualize (potentially genome-scale) gene structure annotation and prediction. The output of any external gene prediction program can be easily converted to a generalized format for input into MyGV. The application displays all input simultaneously in graphical representation, with a toggle option for a text-based view. Zooming capabilities allow detailed comparisons for specific genome locations. The tool is particularly helpful for refinement of ab initio predicted gene structures by spliced alignment with cDNA or protein homologs.
Availability: The program was written in Java and is freely available to non-commercial users by electronic download from http://bioinformatics.iastate.edu/bioinformatics2go/MyGV.