Difference between revisions of "MISO"
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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. | 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. | ||
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Revision as of 02:36, 10 August 2012
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.
Execution Environment and Modules
To use miso with the environment modules system at HPC the following commands are available:
Get module information for miso:
$module spider miso
Load the default application module:
$module load miso
The modulefile for this software adds the directory with executable files to the shell execution PATH and sets the following environment variables:
- HPC_MISO_DIR - directory where miso is located.
How To Run
The default configuration file /apps/miso/conf/miso_settings.txt provides fairly conservative settings. Please copy it to apply your modifications and use the
--settings-filename=SETTINGS_FILENAME
command line switch to point run_miso.py to your custom configuration file.