https://github.com/bioinfo-pf-curie/geniac-demo • Science 13%

This is a demo pipeline with the best practises for the development of bioinformatics analysis pipelines with nextflow and geniac (Automatic Configuration GENerator and Installer for nextflow pipeline).

https://github.com/bioinfo-pf-curie/proteinfold • Science 26%

Prediction of protein 3D structure

https://github.com/bioinfo-pf-curie/geniac • Science 26%

Automatic Configuration GENerator and Installer for nextflow pipeline. This is a set of utilities to implement the best practises for the development of bioinformatics analysis pipelines with nextflow

https://github.com/bioinfo-pf-curie/oncodriver • Science 26%

Detection of driver gene alteration

https://github.com/bioinfo-pf-curie/pevo • Science 26%

Code used for the analysis of the PEVO project

https://github.com/bioinfo-pf-curie/raw-qc • Science 36%

Nextflow pipeline for quality controls and trimming of raw sequencing data

https://github.com/bioinfo-pf-curie/rna-seq • Science 36%

Nextflow pipeline for RNA-seq pre-analysis (quality controls, genes/isoforms expression, isoform de-novo identification)

https://github.com/bioinfo-pf-curie/nf-neoant • Science 13%

Detection of neoantigens from WES and RNA sequencing data

https://github.com/bioinfo-pf-curie/mpibwa • Science 13%

https://github.com/bioinfo-pf-curie/mpisort • Science 13%

https://github.com/bioinfo-pf-curie/quartic • Science 13%

quasart

https://github.com/bioinfomachinelearning/gate • Science 49%

Graph transformer for estimating protein model accuracy

https://github.com/bioinfomachinelearning/grnformer • Science 36%

Transformer models for predicting gene regulatory networks from omics data

https://github.com/bioinfomachinelearning/denoisecryodata • Science 26%

The dataset for training machine learning methods to denoise cryo-EM density maps

https://github.com/bioinfomachinelearning/.github • Science 26%

https://github.com/bioinfomachinelearning/chai-lab • Science 23%

Chai-1, SOTA model for biomolecular structure prediction

https://github.com/bioinfomachinelearning/openfold-triton-evoformer • Science 23%

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

https://github.com/bioinfomachinelearning/cryo2strut2 • Science 26%

The second version of Cryo2Struct for reconstructing protein structures from cryo-EM density maps

https://github.com/bioinfomachinelearning/transfew • Science 13%

Transformer for protein function prediction (version 2)

https://github.com/bioinfomachinelearning/cryovirusdb • Science 23%

A dataset of labeled virus particles in cryo-EM micrographs (images) for training and testing machine learning methods of virus particle picking