computational-biology
There are 960 repositories under computational-biology topic.
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
a-r-j/graphein
Protein Graph Library
gcorso/DiffDock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
scikit-bio/scikit-bio
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
3dmol/3Dmol.js
WebGL accelerated JavaScript molecular graphics library
opensim-org/opensim-core
SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.
seq-lang/seq
A high-performance, Pythonic language for bioinformatics
BioPandas/biopandas
Working with molecular structures in pandas DataFrames
eselkin/awesome-computational-neuroscience
A list of schools and researchers in computational neuroscience
Mariewelt/OpenChem
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
bebop/poly
A Go package for engineering organisms.
plotly/dash-cytoscape
Interactive network visualization in Python and Dash, powered by Cytoscape.js
biotite-dev/biotite
A comprehensive library for computational molecular biology
asoplata/open-computational-neuroscience-resources
A publicly-editable collection of open computational neuroscience resources
opencobra/cobrapy
COBRApy is a package for constraint-based modeling of metabolic networks.
OmicsML/dance
DANCE: a deep learning library and benchmark platform for single-cell analysis
MinkaiXu/GeoDiff
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
bioSyntax/bioSyntax
Syntax highlighting for computational biology
AngelRuizMoreno/Jupyter_Dock
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
Benjamin-Lee/deep-rules
Ten Quick Tips for Deep Learning in Biology
broadinstitute/Tangram
Spatial alignment of single cell transcriptomic data.
HKU-BAL/Clair3
Clair3 - Symphonizing pileup and full-alignment for high-performance long-read variant calling
aquaskyline/SOAPdenovo2
Next generation sequencing reads de novo assembler.
ucscGenomeBrowser/kent
UCSC Genome Browser source tree. Stable branch: "beta".
msmbuilder/vde
Variational Autoencoder for Dimensionality Reduction of Time-Series
pnpnpn/dna2vec
dna2vec: Consistent vector representations of variable-length k-mers
franciscozorrilla/metaGEM
:gem: An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data
aquaskyline/Clairvoyante
Clairvoyante: a multi-task convolutional deep neural network for variant calling in Single Molecule Sequencing
markovmodel/deeptime
Deep learning meets molecular dynamics.
ketatam/DiffDock-PP
Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)
sorgerlab/indra
INDRA (Integrated Network and Dynamical Reasoning Assembler) is an automated model assembly system interfacing with NLP systems and databases to collect knowledge, and through a process of assembly, produce causal graphs and dynamical models.
camUrban/PteraSoftware
Ptera Software is a fast, easy-to-use, and open-source software package for analyzing flapping-wing flight.
wheaton5/souporcell
Clustering scRNAseq by genotypes
blengerich/CompBioDatasetsForMachineLearning
A Curated List of Computational Biology Datasets Suitable for Machine Learning
samsinai/FLEXS
Fitness landscape exploration sandbox for biological sequence design.
fbrundu/pymrmr
Python3 binding to mRMR Feature Selection algorithm (currently not maintained)