ASPicDB is a database designed to provide access to reliable annotations of the alternative splicing pattern of human genes, obtained by ASPic algorithm (Castrignano' et al. 2006), and to the functional annotation of predicted isoforms.
Enhanced query and download facilities allow users to select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST data and their library source annotation.
NEW: is now available the vegetal version of ASPicDB with Arabidopsis Thaliana
Enhanced query and download facilities allow users to select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST data and their library source annotation.
NEW: is now available the vegetal version of ASPicDB with Arabidopsis Thaliana
| Gene Structure View ;) Click to enlarge | Predicted Transcripts ;){kind=spacer} Click to enlarge |
Martelli PL, D'Antonio M, Bonizzoni P, Castrignano T, D'Erchia AM, D'Onorio De Meo P, Fariselli P, Finelli M, Licciulli F, Mangiulli M, Mignone F, Pavesi G, Picardi E, Rizzi R, Rossi I, Valletti A, Zauli A, Zambelli F, Casadio R, Pesole G.
ASPicDB: a database of annotated transcript and protein variants generated by alternative splicing.
Nucleic Acids Res. 2011 Jan;39(Database issue):D80-5. Epub 2010 Nov 4.
Castrignano T, D'Antonio M, Anselmo A, Carrabino D, D'Onorio De Meo A, D'Erchia AM, Licciulli F, Mangiulli M, Mignone F, Pavesi G, Picardi E, Riva A, Rizzi R, Bonizzoni P, Pesole G.
ASPicDB: a database resource for alternative splicing analysis.
Bioinformatics. 2008 May 15;24(10):1300-4. Epub 2008 Apr 3.
Castrignano T, Rizzi R, Talamo IG, De Meo PD, Anselmo A, Bonizzoni P, Pesole G.
ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W440-3.