Genomic Variant Analysis ML Frameworks
Tools for predicting variant effects, ancestry inference, gene classification, and genomic element interpretation using neural networks and deep learning. Does NOT include general sequence alignment, peptide design, or non-genetic biomarker prediction.
There are 61 genomic variant analysis frameworks tracked. 3 score above 50 (established tier). The highest-rated is aertslab/CREsted at 61/100 with 57 stars and 72,063 monthly downloads.
Get all 61 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
aertslab/CREsted
CREsted is a Python package for training sequence-based deep learning models... |
|
Established |
| 2 |
AI-sandbox/gnomix
A fast, scalable, and accurate local ancestry method. |
|
Established |
| 3 |
BIMSBbioinfo/janggu
Deep learning infrastructure for genomics |
|
Established |
| 4 |
kr-colab/ReLERNN
Recombination Landscape Estimation using Recurrent Neural Networks |
|
Emerging |
| 5 |
arnor-sigurdsson/EIR
A toolkit for training deep learning models on genotype, tabular, sequence,... |
|
Emerging |
| 6 |
grimmlab/easyPheno
easyPheno: a model agnostic phenotype prediction framework |
|
Emerging |
| 7 |
kundajelab/dragonn
A toolkit to learn how to model and interpret regulatory sequence data using... |
|
Emerging |
| 8 |
gear-genomics/ancient
Ancestry inference with convolutional neural networks |
|
Emerging |
| 9 |
krishnanlab/PyGenePlexus
A network based gene classification library to generate genome wide... |
|
Emerging |
| 10 |
VisualPhysiologyDB/visual-physiology-opsin-db
A database of opsin genotype-phenotype data and machine-learning models... |
|
Emerging |
| 11 |
GBeurier/nirs4all
A library for Near Infrared Sprectroscopy prediction. NIRS ML. Rebuild of... |
|
Emerging |
| 12 |
databio/geniml
Genomic interval machine learning |
|
Emerging |
| 13 |
Marijn-Schipper/FLAMES
FLAMES: Accurate gene prioritization in GWAS loci |
|
Emerging |
| 14 |
ArnovanHilten/GenNet
Framework for Interpretable Neural Networks |
|
Emerging |
| 15 |
XMU-Kuangnan-Fang-Team/GENetLib
A Python library for Gene–environment interaction analysis via deep learning |
|
Emerging |
| 16 |
gaarangoa/pbmf
Predictive Biomarker Modeling Framework (PBMF) |
|
Emerging |
| 17 |
usnistgov/lantern
Interpretable genotype-phenotype landscape modeling |
|
Emerging |
| 18 |
GenomeNet/deepG
DeepG, or 'Deep Genomics', is a R library which allows to train and apply... |
|
Emerging |
| 19 |
CodeByPinar/gen-expression
Gene expression analysis is a fundamental component of genomics research,... |
|
Experimental |
| 20 |
JChander/DeepRIG
A deep model infers gene regulation networks from scRNA-seq data. |
|
Experimental |
| 21 |
ML4GLand/EUGENe
Elucidating the Utility of Genomic Elements with Neural Nets |
|
Experimental |
| 22 |
jst-seminar-rostlab-tum/genomics.ai
a web application to annotate and visualise single-cell sequencing data... |
|
Experimental |
| 23 |
rayanebelhadj/BiomeML
Classification de maladies par microbiome avec des reseaux de neurones sur... |
|
Experimental |
| 24 |
PathoGenOmics-Lab/pathotypr
Genome classificator using machine learning and SNP markers. |
|
Experimental |
| 25 |
dyneth02/Genome-based-Disorder-Prediction-System
Machine learning system for predicting genetic disorders using genomic,... |
|
Experimental |
| 26 |
NicholasDominic/The-NucleoNets
A novel deep polygenic neural network for predicting and identifying... |
|
Experimental |
| 27 |
nec-research/microbiome-mvib
Microbiome-based disease prediction with multimodal variational information... |
|
Experimental |
| 28 |
uri0l/metabolomics_sex_differences
A bioinformatics pipeline in R to identify sex-associated biomarkers in the... |
|
Experimental |
| 29 |
tathadn/gut-microbiome-disease-classifier
Multi-disease gut microbiome classifier using CLR-transformed OTU profiles,... |
|
Experimental |
| 30 |
Niza46/SYNGAP1-Variant-Viewer
🧬 Visualize SYNGAP1 genetic variants interactively with this R Shiny app,... |
|
Experimental |
| 31 |
sabowler/bioml
Binary classification toolkit for biomedical ML (SVM, XGBoost, KNN, and NN)... |
|
Experimental |
| 32 |
mmeridius544-cyber/Genetics-Influence-On-pschiatric-deceases
this project implements a computational pipeline for modelling genetic risk... |
|
Experimental |
| 33 |
LA777am/GenoScope_pl
GenoScope is a full-stack computational genomics platform built with Flask,... |
|
Experimental |
| 34 |
finnX228/Gengram
🧬 Enhance genomic understanding with Gengram, a conditional memory module... |
|
Experimental |
| 35 |
Elliot-Chan-120/GEM
GEM | Gene Edit Machine: A machine learning-enhanced platform capable of... |
|
Experimental |
| 36 |
adamavip/nirs-protein-prediction
We present here a 1D convolutional neural network model to predict grain... |
|
Experimental |
| 37 |
BiomedSciAI/Geno4SD
An python omics data toolkit for the analysis across biological scales |
|
Experimental |
| 38 |
NAMlab/DeepCRE
Deep learning the cis-regulatory code for gene expression in selected model plants |
|
Experimental |
| 39 |
adamavip/fatty_acid_nirs_model
Using near-infrared spectroscopy (NIRS) and machine learning to determine... |
|
Experimental |
| 40 |
dyneth02/FDM-Labs
Comprehensive machine learning framework for genomic analysis and predictive... |
|
Experimental |
| 41 |
C0nc/River
A Python package for identification Differential Spatial Expression Pattern... |
|
Experimental |
| 42 |
AlvaroTorresMartos/IR_prediction
This is an online repository gathering all codes employed for the analyses... |
|
Experimental |
| 43 |
dDipankar/DeepGuide
DeepGuide: a tool to predict CRIPR activity |
|
Experimental |
| 44 |
HemantBatra873/CRISPRight
CRISPRight is a research-driven deep learning project that analyzes... |
|
Experimental |
| 45 |
Zhihan-Leo-Liu/DosaCNV
Deep multiple instance learning model for predicting deletion pathogenicity... |
|
Experimental |
| 46 |
hanchen9127/GeneAnalysis
An R Shiny APP for analyzing and visualizing the association between gene... |
|
Experimental |
| 47 |
SWi1/diet_PUP_relationships
Analysis scripts for the comparison of dietary polyphenol intake and... |
|
Experimental |
| 48 |
systems-genomics-lab-auc/systems-genomics-lab.github.io
data analytics & machine learning meet genetics @ AUC |
|
Experimental |
| 49 |
Ragerlab/2021_Clark_et_al_Comparing-the-Predictivity-of-Human-Placental-Gene-microRNA-and-CpG-Methylation
Script that associates with: ‘Comparing the Predictivity of Human Placental... |
|
Experimental |
| 50 |
NaealApp/FDM-Labs
🧬 Analyze genomic data and build predictive models for genetic disorders... |
|
Experimental |
| 51 |
Ragerlab/2021_Clark_Comparing-the-Predictivity-of-Human-Placental-Gene-microRNA-and-CpG-Methylation-Signatu
Script that associates with: ‘Comparing the Predictivity of Human Placental... |
|
Experimental |
| 52 |
WevertonGomesCosta/Integrating-nir-genomic-kernel
Demonstrar que a fusão de dados espectrais e genômicos pode aumentar... |
|
Experimental |
| 53 |
Yedomon/bravo_project
Transcriptome analysis of oilseed rape genotypes |
|
Experimental |
| 54 |
milesroberts-123/slim-sweep-cnn
A workflow to simulate selective sweeps in SLiM and turn the results into images |
|
Experimental |
| 55 |
GuLinLin/ELPGV
Ensemble learning for integrative prediction of genetic values with genomic variants. |
|
Experimental |
| 56 |
anilprakash94/neur_ally
Deep learning model for non-coding regulatory variants |
|
Experimental |
| 57 |
climatechangemicrobiology/ProGRN
Prokaryote Gene Regulatory Network (ProGRN) Inference Pipeline |
|
Experimental |
| 58 |
ogrecio/GenomeWidePrediction_course
GENOME-WIDE PREDICTION OF COMPLEX TRAITS IN HUMANS, PLANTS AND ANIMALS |
|
Experimental |
| 59 |
ZheFrench/Omics
Omics : Feel free to contact me if you want I give a hand to analyze your data ! |
|
Experimental |
| 60 |
chhuang216/gene-expression-ai-pipeline
End-to-end ML/AI pipeline for gene-expression prediction & explainability |
|
Experimental |
| 61 |
bchryzal/Genome-sequence-undergoing-mutation
Predict the likelihood of a genome sequence undergoing mutation. |
|
Experimental |