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.
Metadata
Release files for misopy 0.5.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| misopy-0.5.4.tar.gz | 1.5 MB | Without provenance | Details for misopy-0.5.4.tar.gz |
Release files / misopy-0.5.4.tar.gz
| Download URL | misopy-0.5.4.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
377a28b0c254b1920ffdc2d89cf96c3a21cadf1cf148ee6d6ef7a88ada067dfc
|
|
BLAKE2b-256 checksum How to use checksums |
1e1c1ee24b5ed82b1c3b673345ecfc5e7a505273cfe5b450d6fc05479f1ad641
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for misopy 0.5.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.