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ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization
Alternative splicing (AS) is now emerging as a major mechanism contributing to the expansion of the transcriptome and proteome complexity of multicellular organisms. The fact that a single gene locus may give rise to multiple mRNAs and protein isoforms, showing both major and subtle structural varia...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538898/ https://www.ncbi.nlm.nih.gov/pubmed/16845044 http://dx.doi.org/10.1093/nar/gkl324 |
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author | Castrignanò, Tiziana Rizzi, Raffaella Talamo, Ivano Giuseppe De Meo, Paolo D'Onorio Anselmo, Anna Bonizzoni, Paola Pesole, Graziano |
author_facet | Castrignanò, Tiziana Rizzi, Raffaella Talamo, Ivano Giuseppe De Meo, Paolo D'Onorio Anselmo, Anna Bonizzoni, Paola Pesole, Graziano |
author_sort | Castrignanò, Tiziana |
collection | PubMed |
description | Alternative splicing (AS) is now emerging as a major mechanism contributing to the expansion of the transcriptome and proteome complexity of multicellular organisms. The fact that a single gene locus may give rise to multiple mRNAs and protein isoforms, showing both major and subtle structural variations, is an exceptionally versatile tool in the optimization of the coding capacity of the eukaryotic genome. The huge and continuously increasing number of genome and transcript sequences provides an essential information source for the computational detection of genes AS pattern. However, much of this information is not optimally or comprehensively used in gene annotation by current genome annotation pipelines. We present here a web resource implementing the ASPIC algorithm which we developed previously for the investigation of AS of user submitted genes, based on comparative analysis of available transcript and genome data from a variety of species. The ASPIC web resource provides graphical and tabular views of the splicing patterns of all full-length mRNA isoforms compatible with the detected splice sites of genes under investigation as well as relevant structural and functional annotation. The ASPIC web resource—available at —is dynamically interconnected with the Ensembl and Unigene databases and also implements an upload facility. |
format | Text |
id | pubmed-1538898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-15388982006-08-18 ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization Castrignanò, Tiziana Rizzi, Raffaella Talamo, Ivano Giuseppe De Meo, Paolo D'Onorio Anselmo, Anna Bonizzoni, Paola Pesole, Graziano Nucleic Acids Res Article Alternative splicing (AS) is now emerging as a major mechanism contributing to the expansion of the transcriptome and proteome complexity of multicellular organisms. The fact that a single gene locus may give rise to multiple mRNAs and protein isoforms, showing both major and subtle structural variations, is an exceptionally versatile tool in the optimization of the coding capacity of the eukaryotic genome. The huge and continuously increasing number of genome and transcript sequences provides an essential information source for the computational detection of genes AS pattern. However, much of this information is not optimally or comprehensively used in gene annotation by current genome annotation pipelines. We present here a web resource implementing the ASPIC algorithm which we developed previously for the investigation of AS of user submitted genes, based on comparative analysis of available transcript and genome data from a variety of species. The ASPIC web resource provides graphical and tabular views of the splicing patterns of all full-length mRNA isoforms compatible with the detected splice sites of genes under investigation as well as relevant structural and functional annotation. The ASPIC web resource—available at —is dynamically interconnected with the Ensembl and Unigene databases and also implements an upload facility. Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538898/ /pubmed/16845044 http://dx.doi.org/10.1093/nar/gkl324 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Castrignanò, Tiziana Rizzi, Raffaella Talamo, Ivano Giuseppe De Meo, Paolo D'Onorio Anselmo, Anna Bonizzoni, Paola Pesole, Graziano ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization |
title | ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization |
title_full | ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization |
title_fullStr | ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization |
title_full_unstemmed | ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization |
title_short | ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization |
title_sort | aspic: a web resource for alternative splicing prediction and transcript isoforms characterization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538898/ https://www.ncbi.nlm.nih.gov/pubmed/16845044 http://dx.doi.org/10.1093/nar/gkl324 |
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