ASPIC:: a web resource for alternative splicing prediction and transcript isoforms characterization

被引:24
作者
Castrignano, Tiziana
Rizzi, Raffaella
Talamo, Ivano Giuseppe
De Meo, Paolo D'Onorio
Anselmo, Anna
Bonizzoni, Paola
Pesole, Graziano
机构
[1] Univ Bari, Dipartmento Biochim & Biol Mol, I-70126 Bari, Italy
[2] CASPUR, Rome, Italy
[3] Univ Milano Bicocca, DISCo, I-20135 Milan, Italy
[4] Univ Milan, Dipartimento Sci Biomol & Biotecnol, I-20133 Milan, Italy
关键词
D O I
10.1093/nar/gkl324
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 http://www.caspur.it/ASPIC/- is dynamically interconnected with the Ensembl and Unigene databases and also implements an upload facility.
引用
收藏
页码:W440 / W443
页数:4
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