FrameD: a flexible program for quality check and gene prediction in prokaryotic genomes and noisy matured eukaryotic sequences

被引:74
作者
Schiex, T [1 ]
Gouzy, J
Moisan, A
de Oliveira, Y
机构
[1] INRA, Unite Biometrie & Intelligence Artificielle, F-31326 Castanet Tolosan, France
[2] INRA, CNRS, Lab Interact Plantes Microorganismes, F-31326 Castanet Tolosan, France
关键词
D O I
10.1093/nar/gkg610
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We describe FrameD, a program that predicts coding regions in prokaryotic and matured eukaryotic sequences. Initially targeted at gene prediction in bacterial GC rich genomes, the gene model used in FrameD also allows to predict genes in the presence of frameshifts and partially undetermined sequences which makes it also very suitable for gene prediction and frameshift correction in unfinished sequences such as EST and EST cluster sequences. Like recent eukaryotic gene prediction programs, FrameD also includes the ability to take into account protein similarity information both in its prediction and its graphical output. Its performances are evaluated on different bacterial genomes. The web site (http://genopole.toulouse.inra.fr/bioinfo/FrameD/FD) allows direct prediction, sequence correction and translation and the ability to learn new models for new organisms.
引用
收藏
页码:3738 / 3741
页数:4
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