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Título

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

Autor Antón, Miguel A.; Gorostiaga, Dorleta; Guruceaga, Elizabeth; Segura, Víctor; Carmona-Sáez, Pedro; Pascual-Montano, Alberto; Pio, Rubén; Montuenga, Luis M.; Rubio, Angel
Palabras clave Bioinformatics
Molecular biology
Genome studies
Fecha de publicación 29-feb-2008
EditorBioMed Central
Citación Genome Biol. 9(2):R46 (2008)
ResumenExon 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.
Descripción 20 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.
Versión del editorhttp://dx.doi.org/10.1186/gb-2008-9-2-r46
URI http://hdl.handle.net/10261/8683
DOI10.1186/gb-2008-9-2-r46
ISSN1465-6906 (Print)
1465-6914 (Online)
Aparece en las colecciones: (CNB) Artículos
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