Alexander Goncearenco's Projects
intro to machine learning - reverse engineering phenomena
OpenDataScience Machine Learning course (yet Russian-only)
matter.farm, 7x7 beijing project w/ Sean Raspet
Predict Host Pathogen Protein Protein Interactions using 3D Fully Convolutional Neural Networks
dataset for MutaBindv2.0
Python library and package for mutational analysis
FAERS Adverse Reaction Events database and OpenFDA API
Python client for the Open Targets REST API at targetvalidation.org
A set of tools for manipulating and doing calculations on wwPDB macromolecule structure files
Python dependency management and packaging made easy.
Code repository for Practical Data Science Cookbook, Second Edition, published by Packt
Tools to derive prototypical sequence motifs of functional and structural protein units of sub-domain size
A PyMOL plugin to integrate and visualize data for drug discovery
The "Python Machine Learning (2nd edition)" book code repository and info resource
Tips and tricks for plotting in python
Jupyter Notebooks for the Python Data Science Handbook
Python package to query and analyse UniProt
Guidelines for accountable and reproducible computational research
Discovery of biological sequence motifs in R
Scipy library main repository
Predicting the impact of mutations on protein function
Browser-based WebGL molecule renderer with the goal of producing figures that are as attractive as they are practical.
Assessment of the quality of protein folds and protein-protein interaction interfaces using statistical potentials
A framework to infer mutational signatures in cancer over time
A fast python class for reading 2-bit files (used by UCSC genome browser)