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IntDb: A comprehensive database for classified introns of saccharomyces & human

Introns (intra-genic) are non-coding regions of several eukaryotic genes. However, their role in regulation of transcription, embryonic development, stimulate gene (HEG) is apparent in recent years. Thus current research focuses on mutation in introns and their influence in causing various diseases....

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Autores principales: Mohanty, Subhalaxmi, Nizam, Amouda, Biswal, Monalisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314878/
https://www.ncbi.nlm.nih.gov/pubmed/22493526
http://dx.doi.org/10.6026/97320630008233
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author Mohanty, Subhalaxmi
Nizam, Amouda
Biswal, Monalisha
author_facet Mohanty, Subhalaxmi
Nizam, Amouda
Biswal, Monalisha
author_sort Mohanty, Subhalaxmi
collection PubMed
description Introns (intra-genic) are non-coding regions of several eukaryotic genes. However, their role in regulation of transcription, embryonic development, stimulate gene (HEG) is apparent in recent years. Thus current research focuses on mutation in introns and their influence in causing various diseases. Though many available intron databases like YIDB, IDB, ExInt, GISSD, FUGOID, etc. discusses on various aspects of introns but none of them have classified the introns where identification of start intron is found to be important which mainly regulates the various activities of protein at gene level. This lead to an idea for development of “Intdb”; a database meant for classifying introns as start, middle and stop on the basis of position of specific consensus site. Information provided in IntDb is useful for gene prediction, determination of splicing sites and identification of diseases. In addition, the main focus is on violation of consensus rule and frequency of other deviations observed in classified introns. Further, GC content, length variations according to the biased residues and occurrence of consensus pattern to discover potential role of introns is also emphasized in IntDb. AVAILABILITY: The database is available for free at http://introndb.bicpu.edu.in/
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spelling pubmed-33148782012-04-10 IntDb: A comprehensive database for classified introns of saccharomyces & human Mohanty, Subhalaxmi Nizam, Amouda Biswal, Monalisha Bioinformation Database Introns (intra-genic) are non-coding regions of several eukaryotic genes. However, their role in regulation of transcription, embryonic development, stimulate gene (HEG) is apparent in recent years. Thus current research focuses on mutation in introns and their influence in causing various diseases. Though many available intron databases like YIDB, IDB, ExInt, GISSD, FUGOID, etc. discusses on various aspects of introns but none of them have classified the introns where identification of start intron is found to be important which mainly regulates the various activities of protein at gene level. This lead to an idea for development of “Intdb”; a database meant for classifying introns as start, middle and stop on the basis of position of specific consensus site. Information provided in IntDb is useful for gene prediction, determination of splicing sites and identification of diseases. In addition, the main focus is on violation of consensus rule and frequency of other deviations observed in classified introns. Further, GC content, length variations according to the biased residues and occurrence of consensus pattern to discover potential role of introns is also emphasized in IntDb. AVAILABILITY: The database is available for free at http://introndb.bicpu.edu.in/ Biomedical Informatics 2012-03-17 /pmc/articles/PMC3314878/ /pubmed/22493526 http://dx.doi.org/10.6026/97320630008233 Text en © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Database
Mohanty, Subhalaxmi
Nizam, Amouda
Biswal, Monalisha
IntDb: A comprehensive database for classified introns of saccharomyces & human
title IntDb: A comprehensive database for classified introns of saccharomyces & human
title_full IntDb: A comprehensive database for classified introns of saccharomyces & human
title_fullStr IntDb: A comprehensive database for classified introns of saccharomyces & human
title_full_unstemmed IntDb: A comprehensive database for classified introns of saccharomyces & human
title_short IntDb: A comprehensive database for classified introns of saccharomyces & human
title_sort intdb: a comprehensive database for classified introns of saccharomyces & human
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314878/
https://www.ncbi.nlm.nih.gov/pubmed/22493526
http://dx.doi.org/10.6026/97320630008233
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