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ASPIC: a novel method to predict the exon-intron structure of a gene that is optimally compatible to a set of transcript sequences

Paola Bonizzoni1 email, Raffaella Rizzi1 email and Graziano Pesole2 email

1DISCo, University of Milan Bicocca, via Bicocca degli Arcimboldi, 8, Milan, 20135, Italy.

2Dipartimento di Scienze Biomolecolari e Biotecnologie, University of Milan, via Celoria, 26, Milan, 20133, Italy.

author email corresponding author email

BMC Bioinformatics 2005, 6:244doi:10.1186/1471-2105-6-244

Published: 5 October 2005

Additional files

Additional File 1:

Splicing site prediction with and without the optimization strategy.

Format: PDF Size: 76KB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional File 2:

Gencode annotation of 13 Encode regions.

Format: XLS Size: 475KB Download file

This file can be viewed with: Microsoft Excel Viewer

Additional File 3:

RT-negative introns detected by ASPIC.

Format: PDF Size: 97KB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional File 4:

U12 dependent introns detected by ASPIC.

Format: PDF Size: 72KB Download file

This file can be viewed with: Adobe Acrobat Reader


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