ArticleBMC bioinformatics2008
Extension of the COG and arCOG databases by amino acid and nucleotide sequences.
Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Analysis of the plant hormone expression profile during somatic embryogenesis induction in teak (Frontiers in plant science · 2024Article
- Application of Subspace Clustering in DNA Sequence Analysis.Journal of computational biology : a journal of computational molecular cell biology · 2015Article
- Mining for hemicellulases in the fungus-growing termite Pseudacanthotermes militaris using functional metagenomics.Biotechnology for biofuels · 2013Article
- ANCAC: amino acid, nucleotide, and codon analysis of COGs--a tool for sequence bias analysis in microbial orthologs.BMC bioinformatics · 2012Article
- Insights into the evolution of Archaea and eukaryotic protein modifier systems revealed by the genome of a novel archaeal group.Nucleic acids research · 2011Article
- ComSin: database of protein structures in bound (complex) and unbound (single) states in relation to their intrinsic disorder.Nucleic acids research · 2010Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
backgroundThe current versions of the COG and arCOG databases, both excellent frameworks for studies in comparative and functional genomics, do not contain the nucleotide sequences corresponding to their protein or protein domain entries.
resultsUsing sequence information obtained from GenBank flat files covering the completely sequenced genomes of the COG and arCOG databases, we constructed NUCOCOG (nucleotide sequences containing COG databases) as an extended version including all nucleotide sequences and in addition the amino acid sequences originally utilized to construct the current COG and arCOG databases. We make available three comprehensive single XML files containing the complete databases including all sequence information. In addition, we provide a web interface as a utility suitable to browse the NUCOCOG database for sequence retrieval. The database is accessible at http://www.uni-wh.de/nucocog.
conclusionNUCOCOG offers the possibility to analyze any sequence related property in the context of the COG and arCOG framework simply by using script languages such as PERL applied to a large but single XML document.
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