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PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes

BACKGROUND: As more and more genomes are being sequenced, an overview of their genomic features and annotation of their functional elements, which control the expression of each gene or transcription unit of the genome, is a fundamental challenge in genomics and bioinformatics. FINDINGS: Relative st...

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Autores principales: Rangannan, Vetriselvi, Bansal, Manju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160392/
https://www.ncbi.nlm.nih.gov/pubmed/21781326
http://dx.doi.org/10.1186/1756-0500-4-257
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author Rangannan, Vetriselvi
Bansal, Manju
author_facet Rangannan, Vetriselvi
Bansal, Manju
author_sort Rangannan, Vetriselvi
collection PubMed
description BACKGROUND: As more and more genomes are being sequenced, an overview of their genomic features and annotation of their functional elements, which control the expression of each gene or transcription unit of the genome, is a fundamental challenge in genomics and bioinformatics. FINDINGS: Relative stability of DNA sequence has been used to predict promoter regions in 913 microbial genomic sequences with GC-content ranging from 16.6% to 74.9%. Irrespective of the genome GC-content the relative stability based promoter prediction method has already been proven to be robust in terms of recall and precision. The predicted promoter regions for the 913 microbial genomes have been accumulated in a database called PromBase. Promoter search can be carried out in PromBase either by specifying the gene name or the genomic position. Each predicted promoter region has been assigned to a reliability class (low, medium, high, very high and highest) based on the difference between its average free energy and the downstream region. The recall and precision values for each class are shown graphically in PromBase. In addition, PromBase provides detailed information about base composition, CDS and CG/TA skews for each genome and various DNA sequence dependent structural properties (average free energy, curvature and bendability) in the vicinity of all annotated translation start sites (TLS). CONCLUSION: PromBase is a database, which contains predicted promoter regions and detailed analysis of various genomic features for 913 microbial genomes. PromBase can serve as a valuable resource for comparative genomics study and help the experimentalist to rapidly access detailed information on various genomic features and putative promoter regions in any given genome. This database is freely accessible for academic and non- academic users via the worldwide web http://nucleix.mbu.iisc.ernet.in/prombase/.
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spelling pubmed-31603922011-08-24 PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes Rangannan, Vetriselvi Bansal, Manju BMC Res Notes Data Note BACKGROUND: As more and more genomes are being sequenced, an overview of their genomic features and annotation of their functional elements, which control the expression of each gene or transcription unit of the genome, is a fundamental challenge in genomics and bioinformatics. FINDINGS: Relative stability of DNA sequence has been used to predict promoter regions in 913 microbial genomic sequences with GC-content ranging from 16.6% to 74.9%. Irrespective of the genome GC-content the relative stability based promoter prediction method has already been proven to be robust in terms of recall and precision. The predicted promoter regions for the 913 microbial genomes have been accumulated in a database called PromBase. Promoter search can be carried out in PromBase either by specifying the gene name or the genomic position. Each predicted promoter region has been assigned to a reliability class (low, medium, high, very high and highest) based on the difference between its average free energy and the downstream region. The recall and precision values for each class are shown graphically in PromBase. In addition, PromBase provides detailed information about base composition, CDS and CG/TA skews for each genome and various DNA sequence dependent structural properties (average free energy, curvature and bendability) in the vicinity of all annotated translation start sites (TLS). CONCLUSION: PromBase is a database, which contains predicted promoter regions and detailed analysis of various genomic features for 913 microbial genomes. PromBase can serve as a valuable resource for comparative genomics study and help the experimentalist to rapidly access detailed information on various genomic features and putative promoter regions in any given genome. This database is freely accessible for academic and non- academic users via the worldwide web http://nucleix.mbu.iisc.ernet.in/prombase/. BioMed Central 2011-07-22 /pmc/articles/PMC3160392/ /pubmed/21781326 http://dx.doi.org/10.1186/1756-0500-4-257 Text en Copyright ©2011 Bansal et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Note
Rangannan, Vetriselvi
Bansal, Manju
PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes
title PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes
title_full PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes
title_fullStr PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes
title_full_unstemmed PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes
title_short PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes
title_sort prombase: a web resource for various genomic features and predicted promoters in prokaryotic genomes
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160392/
https://www.ncbi.nlm.nih.gov/pubmed/21781326
http://dx.doi.org/10.1186/1756-0500-4-257
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