omics-data-integration
There are 39 repositories under omics-data-integration topic.
opencobra/cobratoolbox
The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:
cafferychen777/MicrobiomeStat
Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
BioSystemsUM/MEWpy
Metabolic Engineering Workbench
krassowski/multi-omics-state-of-the-field
Analyses for "State of the field in multi-omics research: from computational needs to data mining and sharing"
lozuponelab/AMON
Annotation of Metabolite Origin via Networks: A tool for predicting putative metabolite origins for microbes or between microbes and host with or without metabolomics data
futianfan/GenoCraft
GenoCraft: A Comprehensive, User-Friendly Web Platform for High-Throughput Omics Data Analysis and Visualization (https://arxiv.org/pdf/2312.14249)
pcastellanoescuder/POMA
:package: Omics Data Analysis Tools
SysBioChalmers/Yarrowia_lipolytica_W29-GEM
Genome-scale model of Yarrowia lipolytica.
cafferychen777/MicrobiomeStat-Turtorial-Professional-Version
MicrobiomeStat Tutorial Repository: This is a comprehensive resource for learning how to use the MicrobiomeStat package. It provides a step-by-step guide to effectively analyze complex microbiome data.
MetExplore/dexom
Diversity-based enumeration of optimal context-specific metabolic networks
babessell1/MADRID
Metabolic Drug Repurposing Pipeline
ladyson1806/SerohijosLab-piQTL
GitHub Repository associated with the piQTL project (Mapping effects of genome-wide genetic variation to protein-protein interactions reveals molecular mechanisms of complex traits) [ Serohijos & Michnick Lab, Université de Montréal ]
BigDataInSilicoBiologyGroup/IgemRNA
IgemRNA is an open access toolbox for transcriptome data statistical and biochemical network topology-based analysis. IgemRNA was developed in the MATLAB environment in order to take advantage of the up-to-date and most commonly distributed GSM modelling tool Cobra Toolbox 3.0 and spreadsheet file capabilities.
esauta/TBN_learning
TBN_learning is a MATLAB implemented hybrid algorithm for learning the structure of transcriptional Bayesian networks on a genome-wide scale.
sriram-lab/emt-cobra
Modeling the metabolic changes during the epithelial-to-mesenchymal transition.
akatrib/sys-bio
Curated list of analysis pipelines for biological & clinical interpretation of data-driven findings
muia2021pl/Preprocessing_HumanMicrobiome
Code to reproduce preprocessing analysis of IBD dataset from the Human Microbiome Project. This work will provide a walk through analysis tool for the scientific community with less technical knowledge on data science and machine learning.
selbouhaddani/PO2PLS
Probabilistic O2PLS
shashank-KU/OmniCorr
Calculate correlation between two omics data
sriram-lab/metabolicmodeling
Constraint-based metabolic modeling software from the Chandrasekaran Lab
adityamahadevaniyer/ChIP-SICAP
Analysis of proteomics datasets obtained from ChIP-SICAP experiments in HEK cells
annkamsk/mvae
Multimodal Variational Autoencoder dedicated to omics data integration
crhisto/DecoFlex
DecoFlex deconvolution method for Omic data implemented as DecoFlexR
ferdinand-popp/Deepan
Cluster patient based on their multiomics data utilizing graph autoencoders
MendenLab/miRNAInt_Ferroptosis
Multi-omics differential expression and integration using PPI networks
MetExplore/dexom-python
diversity-based enumeration of optimal context-specific metabolic networks using the cobrapy library
nara3m/nara3m
Nara Marella
ngiangre/ROMOPOmics
R package to parse datasets into SQLite-friendly tables
NhanNguyen000/RegOmics
This repository is the code source for the RegOmics tool - Regulatory extraction for Omics data.
fanzhanglab/amp_phase1_ra
Code for Zhang, Wei, Slowikowski, Fonseka, Rao, et al, Nature Immunology, 2019. Single-cell transcriptomics and proteomics data analysis and integration for rheumatoid arthritis synovial tissue. These integrative strategies can be generalized to any other diseases.
ocbe-uio/BayesSurvive
Bayesian survival models for high-dimensional data
saifeldeen-bio/MultiOmics
MOFA (Multi-Omics Factor Analysis) is a computational framework and statistical method designed for the integration and analysis of multi-omics data.
ScottCampit/single-cell-neutrophil-flux-analysis
Analysis of neutrophil metabolic activity during metastasis using single-cell RNASeq and COnstraint-Based Reconstruction and Analysis.
systems-genomics-lab-auc/systems-genomics-lab.github.io
data analytics & machine learning meet genetics @ AUC
ikmb/OmLiT
A Rust accelerated library for annotation and preparing multi-omics data for training deep learning models