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. 6 score above 50 (established tier). The highest-rated is AI-sandbox/gnomix at 62/100 with 109 stars.
Get all 61 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=genomic-variant-analysis&limit=20"
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
AI-sandbox/gnomix
A fast, scalable, and accurate local ancestry method. |
|
Established |
| 2 |
aertslab/CREsted
CREsted is a Python package for training sequence-based deep learning models... |
|
Established |
| 3 |
kr-colab/ReLERNN
Recombination Landscape Estimation using Recurrent Neural Networks |
|
Established |
| 4 |
BIMSBbioinfo/janggu
Deep learning infrastructure for genomics |
|
Established |
| 5 |
arnor-sigurdsson/EIR
A toolkit for training deep learning models on genotype, tabular, sequence,... |
|
Established |
| 6 |
grimmlab/easyPheno
easyPheno: a model agnostic phenotype prediction framework |
|
Established |
| 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 |
Marijn-Schipper/FLAMES
FLAMES: Accurate gene prioritization in GWAS loci |
|
Emerging |
| 10 |
krishnanlab/PyGenePlexus
A network based gene classification library to generate genome wide... |
|
Emerging |
| 11 |
databio/geniml
Genomic interval machine learning |
|
Emerging |
| 12 |
ArnovanHilten/GenNet
Framework for Interpretable Neural Networks |
|
Emerging |
| 13 |
VisualPhysiologyDB/visual-physiology-opsin-db
A database of opsin genotype-phenotype data and machine-learning models... |
|
Emerging |
| 14 |
XMU-Kuangnan-Fang-Team/GENetLib
A Python library for Gene–environment interaction analysis via deep learning |
|
Emerging |
| 15 |
usnistgov/lantern
Interpretable genotype-phenotype landscape modeling |
|
Emerging |
| 16 |
gaarangoa/pbmf
Predictive Biomarker Modeling Framework (PBMF) |
|
Emerging |
| 17 |
GenomeNet/deepG
DeepG, or 'Deep Genomics', is a R library which allows to train and apply... |
|
Emerging |
| 18 |
GBeurier/nirs4all
A library for Near Infrared Sprectroscopy prediction. NIRS ML. Rebuild of... |
|
Emerging |
| 19 |
JChander/DeepRIG
A deep model infers gene regulation networks from scRNA-seq data. |
|
Emerging |
| 20 |
CodeByPinar/gen-expression
Gene expression analysis is a fundamental component of genomics research,... |
|
Emerging |
| 21 |
jst-seminar-rostlab-tum/genomics.ai
a web application to annotate and visualise single-cell sequencing data... |
|
Emerging |
| 22 |
ML4GLand/EUGENe
Elucidating the Utility of Genomic Elements with Neural Nets |
|
Emerging |
| 23 |
PathoGenOmics-Lab/pathotypr
Genome classificator using machine learning and SNP markers. |
|
Emerging |
| 24 |
NicholasDominic/The-NucleoNets
A novel deep polygenic neural network for predicting and identifying... |
|
Emerging |
| 25 |
dyneth02/Genome-based-Disorder-Prediction-System
Machine learning system for predicting genetic disorders using genomic,... |
|
Emerging |
| 26 |
nec-research/microbiome-mvib
Microbiome-based disease prediction with multimodal variational information... |
|
Emerging |
| 27 |
adamavip/nirs-protein-prediction
We present here a 1D convolutional neural network model to predict grain... |
|
Experimental |
| 28 |
BiomedSciAI/Geno4SD
An python omics data toolkit for the analysis across biological scales |
|
Experimental |
| 29 |
NAMlab/DeepCRE
Deep learning the cis-regulatory code for gene expression in selected model plants |
|
Experimental |
| 30 |
adamavip/fatty_acid_nirs_model
Using near-infrared spectroscopy (NIRS) and machine learning to determine... |
|
Experimental |
| 31 |
rayanebelhadj/BiomeML
Classification de maladies par microbiome avec des reseaux de neurones sur... |
|
Experimental |
| 32 |
AlvaroTorresMartos/IR_prediction
This is an online repository gathering all codes employed for the analyses... |
|
Experimental |
| 33 |
C0nc/River
A Python package for identification Differential Spatial Expression Pattern... |
|
Experimental |
| 34 |
dDipankar/DeepGuide
DeepGuide: a tool to predict CRIPR activity |
|
Experimental |
| 35 |
dyneth02/FDM-Labs
Comprehensive machine learning framework for genomic analysis and predictive... |
|
Experimental |
| 36 |
uri0l/metabolomics_sex_differences
A bioinformatics pipeline in R to identify sex-associated biomarkers in the... |
|
Experimental |
| 37 |
tathadn/gut-microbiome-disease-classifier
Multi-disease gut microbiome classifier using CLR-transformed OTU profiles,... |
|
Experimental |
| 38 |
sabowler/bioml
Binary classification toolkit for biomedical ML (SVM, XGBoost, KNN, and NN)... |
|
Experimental |
| 39 |
mmeridius544-cyber/Genetics-Influence-On-pschiatric-deceases
this project implements a computational pipeline for modelling genetic risk... |
|
Experimental |
| 40 |
Zhihan-Leo-Liu/DosaCNV
Deep multiple instance learning model for predicting deletion pathogenicity... |
|
Experimental |
| 41 |
finnX228/Gengram
🧬 Enhance genomic understanding with Gengram, a conditional memory module... |
|
Experimental |
| 42 |
anilprakash94/neur_ally
Deep learning model for non-coding regulatory variants |
|
Experimental |
| 43 |
GuLinLin/ELPGV
Ensemble learning for integrative prediction of genetic values with genomic variants. |
|
Experimental |
| 44 |
climatechangemicrobiology/ProGRN
Prokaryote Gene Regulatory Network (ProGRN) Inference Pipeline |
|
Experimental |
| 45 |
ogrecio/GenomeWidePrediction_course
GENOME-WIDE PREDICTION OF COMPLEX TRAITS IN HUMANS, PLANTS AND ANIMALS |
|
Experimental |
| 46 |
HemantBatra873/CRISPRight
CRISPRight is a research-driven deep learning project that analyzes... |
|
Experimental |
| 47 |
systems-genomics-lab-auc/systems-genomics-lab.github.io
data analytics & machine learning meet genetics @ AUC |
|
Experimental |
| 48 |
bchryzal/Genome-sequence-undergoing-mutation
Predict the likelihood of a genome sequence undergoing mutation. |
|
Experimental |
| 49 |
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 |
| 50 |
WevertonGomesCosta/Integrating-nir-genomic-kernel
Demonstrar que a fusão de dados espectrais e genômicos pode aumentar... |
|
Experimental |
| 51 |
MuhammadMuneeb007/EFGPP
Exploratory Framework for Genotype-Phenotype Prediction |
|
Experimental |
| 52 |
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 |
| 53 |
milesroberts-123/slim-sweep-cnn
A workflow to simulate selective sweeps in SLiM and turn the results into images |
|
Experimental |
| 54 |
ZheFrench/Omics
Omics : Feel free to contact me if you want I give a hand to analyze your data ! |
|
Experimental |
| 55 |
NaealApp/FDM-Labs
🧬 Analyze genomic data and build predictive models for genetic disorders... |
|
Experimental |
| 56 |
SWi1/diet_PUP_relationships
Analysis scripts for the comparison of dietary polyphenol intake and... |
|
Experimental |
| 57 |
GenomeNet/Self-GenomeNet
A method that utilizes unlabeled genomic data to address the challenge of... |
|
Experimental |
| 58 |
Yedomon/bravo_project
Transcriptome analysis of oilseed rape genotypes |
|
Experimental |
| 59 |
FloFlo93/PICA-to-go
Phenotype prediction pipeline |
|
Experimental |
| 60 |
kenan-erol/MicrobeClassification
Classification model predicting the type of microbe from provided features |
|
Experimental |
| 61 |
yebigithub/GBLUP4Met
Role of genomics on regulating rice grain metabolic variability under warmer... |
|
Experimental |