
bixverse - Rust-accelerated standard bioinformatics, computational biology workflows
Your favourite methods used in bioinformatics and computational biology made VERY fast via Rust. Contains various gene set enrichment methods, graph- based methods, co-expression module detection and much more. Additionally, has now a single cell analysis suite, enabling million cell scale analysis on local compute.
Last updated
bioinformaticscomputational-biologyr-languagesingle-cellrustcargo
6.70 score 37 stars 2 dependents 54 scripts
genewalkR - Graph-based computational algorithms in R, including diffusions and small neural networks like node2vec.
Various graph-based methods commonly used in computational biology. Heat diffusions over networks, node2vec and metapath2vec-based analyses over biologicals networks in R powered by Rust. Includes GeneWalkR and co-expression gene drift detection methods based on node2vec.
Last updated
bioinformaticscomputational-biologydeep-learningnetwork-analysisnode2vecrustcargoquarto
5.12 score 2 stars 7 scripts
bixverse.gpu - GPU-accelerated methods via cubecl and WGPU for the bixverse with general methods such as k-means and correlations and a lot of methods specific for single cell analysis acceleration.
Provides GPU-accelerated methods for the bixverse. These leverage Burn, cubecl and wgpu under the hood to work on very different hardwares.
Last updated
computational-biologygpur-languagesingle-cellrustcargo
2.90 score 1 stars 1 scripts
bixverse.plots - Plotting functions for bixverse
This package contains various plotting helpers for the core functions of the bixverse package.
Last updated
bioinformaticsggplot2
2.80 score 14 scripts

