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Simon van Heeringen's Projects

ananse icon ananse

Prediction of key transcription factors in cell fate determination using enhancer networks. See full ANANSE documentation for detailed installation instructions and usage examples. http://anansepy.readthedocs.io

bokeh icon bokeh

Interactive Data Visualization in the browser, from Python

dragonn icon dragonn

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

fluff icon fluff

Fluff is a Python package that contains several scripts to produce pretty, publication-quality figures for next-generation sequencing experiments.

geoparse icon geoparse

Python library to access Gene Expression Omnibus Database (GEO)

kerasr icon kerasr

R interface to the keras library

markdown-pp icon markdown-pp

Preprocessor for Markdown files to generate a table of contents and other documentation needs

moods icon moods

MOODS: Motif Occurrence Detection Suite

norns icon norns

Simple yaml-based config module

numpy icon numpy

The fundamental package for scientific computing with Python.

p53scan icon p53scan

p53scan & p63scan: search for the p53 or p63 motif

pita icon pita

Pipeline to improve transcript annotation based on RNA-seq and ChIP-seq data.

psap icon psap

CLI interface for the PSAP classifier, Mierlo, G. van. Predicting protein condensate formation using machine learning (Manuscript in Preparation).

pybedtools icon pybedtools

Python wrapper -- and more -- for Aaron Quinlan's BEDTools (bioinformatics tools)

pydnase icon pydnase

Python module for the easy handling and analysis of DNase-seq data

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