MISO 0.5.4

:: DESCRIPTION

MISO (Mixture of Isoforms) is a probabilistic framework that quantitates the expression level of alternatively spliced genes from RNA-Seq data, and identifies differentially regulated isoforms or exons across samples. By modeling the generative process by which reads are produced from isoforms in RNA-Seq, the MISO model uses Bayesian inference to compute the probability that a read originated from a particular isoform.

::DEVELOPER

Christopher Burge Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Linux
• C Complier
• Python

:: DOWNLOAD

  MISO

:: MORE INFORMATION

Citation

Yarden Katz, Eric T. Wang, Edoardo M. Airoldi*, Christopher B. Burge*.
Analysis and design of RNA sequencing experiments for identifying isoform regulation
Nature Methods 2010 (7, 1009-1015)