ostrokach Goto Github PK

drug-combinations-az

Predicting synergistic drug combinations in the AstraZeneca-Sanger drug combination prediction DREAM challenge.

elaspic

Ensemble Learning Approach for Stability Prediction of Interface and Core mutations.

encom

Coarse-grained Normal Mode Analysis software

ensembler

Software pipeline for automating omics-scale protein modeling and simulation setup.

fetk

Fork of the Finite Element ToolKit from fetk.org.

funnel

Funnel is a toolkit for distributed task execution via a simple, standard API.

geoflow_c

gitignore

A collection of useful .gitignore templates

gravizo

How to include graphviz graphs in github README

gseapy

Gene Set Enrichment Analysis in Python

gson

A Java serialization/deserialization library to convert Java Objects into JSON and back

httpie

Modern command line HTTP client — user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. Follow https://twitter.com/CLIHTTP for tips and updates.

kapsel

latex-beamerposter

The LaTeX beamerposter package

mermaid

Generation of diagram and flowchart from text in a similar manner as markdown

mesh_routines

Contains meshing routines used by tabipb and pb_sam compiled for Mac, Linux, and Windows

mkdocsbase

A clean Mkdocs install. MkDocs is a fast, simple and downright gorgeous static site generator that's geared towards building project documentation.

mmtf-spark

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

mmtf-workshop-2017

Structural Bioinformatics Training Workshop & Hackathon 2017

mmtk

mpich-feedstock

A conda-smithy repository for mpich.

msaview

msc_thesis

CS MSc Thesis

ostrokach

pb_solvers

Analytic and Semi-Analytic solvers for Poisson-Boltzmann equations

pdb2pka

pdb2pqr

pdbtools

A set of tools for manipulating and doing calculations on wwPDB macromolecule structure files

pdbx

pdbx is a parser module in python for structures of the protein data bank in the mmcif format

propka-3.1

PROPKA predicts the pKa values of ionizable groups in proteins and protein-ligand complexes based in the 3D structure.