Metadata-Version: 1.1
Name: sshmm
Version: 1.0.0b2
Summary: A sequence-structure hidden Markov model for the analysis of RNA-binding protein data.
Home-page: https://github.molgen.mpg.de/heller/ssHMM
Author: David Heller, Annalisa Marsico
Author-email: heller_d@molgen.mpg.de
License: GPLv3
Description: RNA-binding proteins (RBPs) play a vital role in the post-transcriptional control of RNAs. They are known to recognize RNA molecules by their nucleotide sequence as well as their three-dimensional structure. ssHMM is an RNA motif finder that combines a hidden Markov model (HMM) with Gibbs sampling to learn the joint sequence and structure binding preferences of RBPs from high-throughput RNA-binding experiments, such as CLIP-Seq. The model can be visualized as an intuitive graph illustrating the interplay between RNA sequence and structure.
Keywords: sshmm CLIP-Seq RBP RNA RNA-binding protein motif HMM sequence structure
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 2.7
