Metadata-Version: 2.1
Name: hmmlogo
Version: 0.0.3
Summary: Package to plot logos for profile hidden Markov models.
Home-page: https://github.com/imyp/hmmlogo
Author: Inti Manuel Yabar-Pagaza
Author-email: intipagaza@live.dk
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: matplotlib
Requires-Dist: requests
Requires-Dist: pandas
Requires-Dist: numpy


# Table of Contents

1.  [Introduction](#org61820c1)



<a id="org61820c1"></a>

# Introduction

[Pfam](https://pfam.xfam.org/) is a database that collects information about protein families
and domains.  Profile hidden Markov models (HMMs) are used to
classify the protein families and hold information about
conservation and variability within family members.  Sequence logos
are graphical representations of biological sequence alignments or
HMMs, that give information about the conservation.



