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Title

SPACE: an algorithm to predict and quantify alternatively spliced isoforms using microarrays

AuthorsAntón, Miguel A.; Gorostiaga, Dorleta; Guruceaga, Elizabeth; Segura, Víctor; Carmona-Sáez, Pedro; Pascual-Montano, Alberto; Pio, Rubén; Montuenga, Luis M.; Rubio, Angel
KeywordsBioinformatics
Molecular biology
Genome studies
Issue Date29-Feb-2008
PublisherBioMed Central
CitationGenome Biol. 9(2):R46 (2008)
AbstractExon and exon+junction microarrays are promising tools for studying alternative splicing. Current analytical tools applied to these arrays lack two relevant features: the ability to predict unknown spliced forms and the ability to quantify the concentration of known and unknown isoforms. SPACE is an algorithm that has been developed to (1) estimate the number of different transcripts expressed under several conditions, (2) predict the precursor mRNA splicing structure and (3) quantify the transcript concentrations including unknown forms. The results presented here show its robustness and accuracy for real and simulated data.
Description20 pages, 13 figures.-- Supplementary material available at: http://genomebiology.com/2008/9/2/R46/additional/ (Additional data file 1: 22 Figures. Additional data file 2: Matlab data files).-- PMCID: PMC2374713.
Publisher version (URL)http://dx.doi.org/10.1186/gb-2008-9-2-r46
URIhttp://hdl.handle.net/10261/8683
DOIhttp://dx.doi.org/10.1186/gb-2008-9-2-r46
ISSN1465-6906
E-ISSN1465-6914
Appears in Collections:(CNB) Artículos
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