Skip to main content

Mixture of Isoforms model (MISO) for isoform quantitation using RNA-Seq

Project 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.

MISO uses the inferred assignment of reads to isoforms to quantitate the abundances of the underlying set of alternative mRNA isoforms. Confidence intervals over estimates can be obtained, which quantify the reliability of the estimates.

Please see http://genes.mit.edu/burgelab/miso/docs/ for MISO manual and documentation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for misopy, version 0.5.4
Filename, size File type Python version Upload date Hashes
Filename, size misopy-0.5.4.tar.gz (1.5 MB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page