euGenes/Arthropods About Arthropods EvidentialGene DroSpeGe

Index of /EvidentialGene/other/evigene_old

      Name                    Last modified       Size  

[DIR] Parent Directory 20-Sep-2016 14:16 - [   ] evigene13jun20.tar 20-Jun-2013 12:29 4.6M [   ] evigene13jun21.tar 21-Jun-2013 12:45 4.6M [   ] evigene13may30.tar 30-May-2013 13:02 4.4M [   ] evigene14dec30.tar 04-Jan-2015 13:47 5.5M [   ] evigene14feb21.tar 21-Feb-2014 12:42 5.6M [   ] evigene14jan10.tar 10-Jan-2014 13:06 5.3M [   ] evigene14jun20.tar 19-Jun-2014 13:43 5.6M [   ] evigene14may23.tar 23-May-2014 13:26 5.5M [   ] evigene15mar20.tar 19-Mar-2015 14:50 5.7M [   ] evigene16mar20.tar 19-Mar-2016 14:45 6.3M [   ] evigene16sep20.tar 20-Sep-2016 14:14 6.8M [   ] evigene17dec14.tar 14-Dec-2017 22:54 7.3M [   ] evigene17mar10.tar 11-Mar-2017 15:02 6.9M [   ] evigene18jan01.tar 01-Jan-2018 15:26 7.2M [   ] evigene18may07.tar 09-May-2018 14:00 7.4M

About euGenes/EvidentialGene

About euGenes/EvidentialGene

EvidentialGene is a genome informatics project for "Evidence Directed Gene Construction for Eukaryotes", for constructing high quality, accurate gene sets for animals and plants (any eukaryotes), being developed by Don Gilbert at Indiana University, gilbertd at indiana edu.

Construction refers to the combination of classical gene prediction, and more recent gene assembly (de-novo and genome-assisted) methods. The basic Evigene methods involve using available best-of-breed gene prediction and assembly software, combining all evidence for genes, from expressed sequences, genome assembly sequences, related species protein sequences, and any other, to annotate and score gene constructions. Over-produced constructions are classified by gene evidence for best qualities per "locus", including genome-aligned and gene-transcript aligned (genome-free) locus identification.

All software developed for EvidentialGene is publicly available for use,
The best way to get and update is: ftp
Archived older (and occasional newer prerelease) Evigene software is here:

Developed at the Genome Informatics Lab of Indiana University Biology Department