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

Genome Biol. 2008;9(2):R46. doi: 10.1186/gb-2008-9-2-r46. Epub 2008 Feb 29.


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.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Alternative Splicing*
  • Animals
  • Computational Biology / methods*
  • Computer Simulation
  • Exons
  • Humans
  • Oligonucleotide Array Sequence Analysis*
  • Protein Isoforms / genetics*
  • Transcription, Genetic


  • Protein Isoforms