Literature DB >> 15769832

MIPS bacterial genomes functional annotation benchmark dataset.

Igor V Tetko1, Barbara Brauner, Irmtraud Dunger-Kaltenbach, Goar Frishman, Corinna Montrone, Gisela Fobo, Andreas Ruepp, Alexey V Antonov, Dimitrij Surmeli, Hans-Wernen Mewes.   

Abstract

MOTIVATION: Any development of new methods for automatic functional annotation of proteins according to their sequences requires high-quality data (as benchmark) as well as tedious preparatory work to generate sequence parameters required as input data for the machine learning methods. Different program settings and incompatible protocols make a comparison of the analyzed methods difficult.
RESULTS: The MIPS Bacterial Functional Annotation Benchmark dataset (MIPS-BFAB) is a new, high-quality resource comprising four bacterial genomes manually annotated according to the MIPS functional catalogue (FunCat). These resources include precalculated sequence parameters, such as sequence similarity scores, InterPro domain composition and other parameters that could be used to develop and benchmark methods for functional annotation of bacterial protein sequences. These data are provided in XML format and can be used by scientists who are not necessarily experts in genome annotation. AVAILABILITY: BFAB is available at http://mips.gsf.de/proj/bfab

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Year:  2005        PMID: 15769832     DOI: 10.1093/bioinformatics/bti380

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Toward an online repository of Standard Operating Procedures (SOPs) for (meta)genomic annotation.

Authors:  Samuel V Angiuoli; Aaron Gussman; William Klimke; Guy Cochrane; Dawn Field; George Garrity; Chinnappa D Kodira; Nikos Kyrpides; Ramana Madupu; Victor Markowitz; Tatiana Tatusova; Nick Thomson; Owen White
Journal:  OMICS       Date:  2008-06

2.  A systematic approach to infer biological relevance and biases of gene network structures.

Authors:  Alexey V Antonov; Igor V Tetko; Hans W Mewes
Journal:  Nucleic Acids Res       Date:  2006-01-10       Impact factor: 16.971

3.  Super paramagnetic clustering of protein sequences.

Authors:  Igor V Tetko; Axel Facius; Andreas Ruepp; Hans-Werner Mewes
Journal:  BMC Bioinformatics       Date:  2005-04-01       Impact factor: 3.169

Review 4.  Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering.

Authors:  Mohamed Helmy; Derek Smith; Kumar Selvarajoo
Journal:  Metab Eng Commun       Date:  2020-10-09

5.  A domain sequence approach to pangenomics: applications to Escherichia coli.

Authors:  Lars-Gustav Snipen; David W Ussery
Journal:  F1000Res       Date:  2012-10-01
  5 in total

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