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          Institute: Friedrich-Miescher-Laboratorium     Collection: Publikationen des FML     Display Documents



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ID: 453084.0, Friedrich-Miescher-Laboratorium / Publikationen des FML
mGene.web: a web service for accurate computational gene finding
Authors:Schweikert, G.; Behr, J.; Zien, A.; Zeller, G.; Ong, C. S.; Sonnenburg, S.; Ratsch, G.
Language:English
Date of Publication (YYYY-MM-DD):2009-07-01
Title of Journal:Nucleic Acids Research
Journal Abbrev.:Nucleic Acids Res
Volume:37
Issue / Number:Web Server issue
Start Page:W312
End Page:6
Review Status:not specified
Audience:Experts Only
Abstract / Description:We describe mGene.web, a web service for the genome-wide prediction of protein coding genes from eukaryotic DNA sequences. It offers pre-trained models for the recognition of gene structures including untranslated regions in an increasing number of organisms. With mGene.web, users have the additional possibility to train the system with their own data for other organisms on the push of a button, a functionality that will greatly accelerate the annotation of newly sequenced genomes. The system is built in a highly modular way, such that individual components of the framework, like the promoter prediction tool or the splice site predictor, can be used autonomously. The underlying gene finding system mGene is based on discriminative machine learning techniques and its high accuracy has been demonstrated in an international competition on nematode genomes. mGene.web is available at http://www.mgene.org/web, it is free of charge and can be used for eukaryotic genomes of small to moderate size (several hundred Mbp).
Free Keywords:*Genes; *Genomics; Internet; Proteins/*genetics; RNA Splice Sites; Sequence Analysis, DNA; *Software; Transcription Initiation Site
External Publication Status:published
Document Type:Article
Communicated by:N. N.
Affiliations:Friedrich-Miescher-Laboratorium/Research Group Gunnar R├Ątsch
External Affiliations:%G eng
Identifiers:ISSN:1362-4962 (Electronic) 0305-1048 (Linking) %R gkp4... [ID No:1]
URL:http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=... [ID No:2]
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