TigrScan and GlimmerHMM:: two open source ab initio eukaryotic gene-finders

被引：1298

作者：

Majoros, WH ^{[1
]}

Pertea, M ^{[1
]}

Salzberg, SL ^{[1
]}

机构：

[1] Inst Genom Res, Bioinformat Dept, Rockville, MD 20850 USA

来源：

BIOINFORMATICS | 2004年 / 20卷 / 16期

关键词：

D O I：

10.1093/bioinformatics/bth315

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We describe two new Generalized Hidden Markov Model implementations for ab initio eukaryotic gene prediction. The C/C++ source code for both is available as open source and is highly reusable due to their modular and extensible architectures. Unlike most of the currently available gene-finders, the programs are re-trainable by the end user. They are also re-configurable and include several types of probabilistic submodels which can be independently combined, such as Maximal Dependence Decomposition trees and interpolated Markov models. Both programs have been used at TIGR for the annotation of the Aspergillus fumigatus and Toxoplasma gondii genomes.

引用

页码：2878 / 2879

页数：2