busrasavas

busrasavas's Stars

• Atakanzsn/DynaBench

  Tool for MD simulation analysis and visualization

  Language:Python21

• kalininalab/alphafold_non_docker

  AlphaFold2 non-docker setup

  Language:Shell338119

• jproney/AF2Rank

  Language:Jupyter Notebook9212

• nvbn/thefuck

  Magnificent app which corrects your previous console command.

  Language:Python84.9k3.4k

• pengzhangzhi/Awesome-Computational-Structural-Biology

  A curated list of awesome self-learning materials in Computational Structural Biology, such as sources, tutorials, etc.

  34

• BurcuOzden/CSB-WS

  This page is prepared to model the complex of phage G3P and E. Coli TolA

  Language:Shell22

• salilab/imp

  The Integrative Modeling Platform

  Language:C++7330

• victor-gil-sepulveda/pyRMSD

  pyRMSD is a small Python package that aims to offer an integrative and efficient way of performing RMSD calculations of large sets of structures. It is specially tuned to do fast collective RMSD calculations, as pairwise RMSD matrices.

  Language:C++2614

• salilab/imp-sampcon

  Scripts to assess sampling convergence and exhaustiveness

  Language:Python37

• grandrea/Alphafold-analysis

  scripts to visualise results of alphafold2 and 3 multimer runs

  Language:Python114

• google-deepmind/alphafold

  Open source code for AlphaFold.

  Language:Python12.4k2.2k

• deGrootLab/pmx

  Toolkit for free-energy calculation setup/analysis and biomolecular structure handling

  Language:Python13250

• CSB-KaracaLab/RBD-ACE2-MutBench

  Benchmarking the structure-based mutation predictors on ace2-rbd binding data set

  Language:Jupyter Notebook65

• CSB-KaracaLab/Sox-PTF

  Language:Jupyter Notebook1

• CSB-KaracaLab/CSB-WS

  This page is prepared to model the complex of phage G3P and E. Coli TolA

  Language:Shell1

• mattarnoldbio/alphapickle

  Language:Python3013

• mtplr/pyMol-cookbook

  Some notes (cookbook) for pyMol. Protein Crystallography course.

  143

• cbalbin-bio/pymol-color-alphafold

  PyMOL extension to color AlphaFold structures by confidence (pLDDT).

  Language:Python6222

• CSB-KaracaLab/gmx_performance_on_HPC

  Gromacs performance benchmarking on different HPC platforms

  Language:Jupyter Notebook85

• aysebercin/gmx_corr

  gmx_corr converts the covariance matrix which is produced by GROMACS covar to cross correlation matrix and creates a heat map figure.

  Language:Jupyter Notebook3

• mehdikosaca/yuz_tanima

  Bu repo oluşturduğunuz verisetindeki yüzleri tanımaya çalışır.

  Language:Python2

• plotly/dash-bio

  Open-source bioinformatics components for Dash

  Language:Python530193

• CSB-KaracaLab/interaction-analysis

  3

• MobleyLab/Training

  Lab policies, training, style guides, etc.

  354

• RosettaCommons/RoseTTAFold

  This package contains deep learning models and related scripts for RoseTTAFold

  Language:Python2k434

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python41.7k8k

• SARS-CoV-2-Contagiousness/Bulasiciligi-Arttiran-Koronavirus-SARS-CoV-2-Mutasyonlarinin-Tahmini

  Language:Jupyter Notebook72

• stephenturner/oneliners

  Useful bash one-liners for bioinformatics.

  1.8k521

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.1k2.6k

• rfordatascience/tidytuesday

  Official repo for the #tidytuesday project

  Language:HTML6.8k2.4k