Challenging the spliceosome machine

Michael Weir¹ , Matthew Eaton¹^,2 and Michael Rice²

¹Department of Biology, Wesleyan University, Middletown, CT 06459, USA

²Department of Mathematics and Computer Science, Wesleyan University, Middletown, CT 06459, USA

author email corresponding author email

Genome Biology 2006, 7:R3doi:10.1186/gb-2006-7-1-r3


Published:	17 January 2006

Subject areas: Molecular biology, Bioinformatics

Additional data file 1:

Algorithm used for computing splice sites

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Additional data file 2:

Results of the bootstrap tests

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Additional data file 3:

The full dataset of 24,423 predicted introns, which includes the nucleotide sequences (positions -32 to 32) flanking the donor and acceptor sites

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