Unknown

Dataset Information

0

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


ABSTRACT: Exon 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.

SUBMITTER: Anton MA 

PROVIDER: S-EPMC2374713 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Anton Miguel A MA   Gorostiaga Dorleta D   Guruceaga Elizabeth E   Segura Victor V   Carmona-Saez Pedro P   Pascual-Montano Alberto A   Pio Ruben R   Montuenga Luis M LM   Rubio Angel A  

Genome biology 20080229 2


Exon 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 transc  ...[more]

Similar Datasets

| S-EPMC1616956 | biostudies-literature
| S-EPMC2839007 | biostudies-literature
| S-EPMC2651755 | biostudies-literature
| S-EPMC5636827 | biostudies-literature
| S-EPMC2790411 | biostudies-literature
| S-EPMC2868064 | biostudies-literature
| S-EPMC1458362 | biostudies-literature
| S-EPMC1868414 | biostudies-literature
| S-EPMC162252 | biostudies-literature
| S-EPMC3044655 | biostudies-literature