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PMID: 15145805 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

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

Bioinformatics (Oxford, England) ·Vol. 20 ·No. 16 ·2004-11-01 ·Pages 2878-9

Majoros WH, Pertea M, Salzberg SL

Abstract

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. Source code and documentation are available under the open source Artistic License from http://www.tigr.org/software/pirate

MeSH Terms
Algorithms Animals Aspergillus fumigatus/genetics Eukaryotic Cells Gene Expression Profiling/methods Markov Chains Models, Genetic Models, Statistical Programming Languages Sequence Alignment/methods Sequence Analysis, DNA/methods Software Toxoplasma/genetics
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Majoros W H
Bioinformatics Department, The Institute for Genomic Research, Rockville, MD 20850, USA. [email protected]
Pertea M
Salzberg S L
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2004-11-01
Epub
2004-00-14
Pages
2878-9
Language
English
Region
England
NLM ID
9808944
Subset
IM
Grants
NLM NIH HHS · R01 LM06845 · United States
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