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AVISPA: a web tool for the prediction and analysis of alternative splicing

Yoseph Barash1245*, Jorge Vaquero-Garcia12, Juan González-Vallinas13, Hui Yuan Xiong4, Weijun Gao4, Leo J Lee4 and Brendan J Frey45

Author Affiliations

1 Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA

2 Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA

3 Universitat Pompeu Fabra, Barcelona 08003, Spain

4 Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada

5 Banting and Best Department of Medical Research, University of Toronto, Toronto, ON M5G 1L6, Canada

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Genome Biology 2013, 14:R114  doi:10.1186/gb-2013-14-10-r114

Published: 24 October 2013

Additional files

Additional file 1: Figure S1:

Correcting constitutive exons selection bias in non-tissue-dependent exons. Exon scores for being alternative versus constitutive (x-axis) are plotted as a cumulative distribution function (CDF, y-axis). The initial set of selected non-tissue-dependent exons (blue) was biased towards constitutive exons compared to a random sample of 1,000 exon triplets from the genome (red). Subsampling the original set of 2,000 exons per tissue to fit the score distribution of a random set gave a good fit (green). Both green and red line plots are accumulated over all exons in all tissues as no significant difference was observed between the different tissues.

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