knightlab-analyses / multiomic-cooccurrencesLinks
☆25Updated 4 years ago
Alternatives and similar repositories for multiomic-cooccurrences
Users that are interested in multiomic-cooccurrences are comparing it to the libraries listed below
Sorting:
- A manually curated database of human gut metabolic modules.☆18Updated 6 years ago
- A Reference Pathways Mapper for turning metagenomic functional profiles into pathway/module profiles.☆27Updated 6 years ago
- Visualize differentially ranked features (taxa, metabolites, ...) and their log-ratios across samples☆34Updated 2 months ago
- Neural networks for microbe-metabolite interaction analysis☆120Updated 2 years ago
- Materials for the STAMPS 2022 course at the MBL in Woods Hole, MA, USA☆21Updated 2 years ago
- MicrobeDirectory 2.0☆22Updated 4 years ago
- ☆30Updated 9 months ago
- ☆43Updated 7 years ago
- Robust Aitchison PCA from sparse count data☆34Updated 2 years ago
- Microbial community-scale metabolic modeling predicts personalized short-chain-fatty-acid production profiles in the human gut☆10Updated 11 months ago
- Materials and tutorials for the 2020 ISB Microbiome Course☆30Updated 2 years ago
- ☆37Updated 3 years ago
- Annotation of Metabolite Origin via Networks: A tool for predicting putative metabolite origins for microbes or between microbes and host…☆21Updated last year
- Automated synthetic microbial Community Design☆14Updated 4 years ago
- ☆30Updated 4 years ago
- exploratory and interactive microbiome analyses based on heatmaps☆27Updated 4 months ago
- ☆10Updated 7 months ago
- ☆69Updated 7 months ago
- Best practices for applying machine learning to bacterial 16S rRNA gene sequencing data☆31Updated 4 years ago
- Data, scripts, and lectures for the Introduction to Metagenomics Summer Workshop 2019.☆33Updated 5 years ago
- A metagenomic strategy for harnessing the chemical repertoire of the human microbiome☆32Updated last year
- CCLasso: Correlation Inference for Compositional Data through Lasso☆16Updated 9 years ago
- ☆16Updated 2 years ago
- Code and manual of the endoR R-package (Ruaud et al, in preparation).☆12Updated last year
- Analyses in R and Python Using curatedMetagenomicData☆31Updated 2 months ago
- ☆20Updated 4 years ago
- Protein Alignment and Detection Interface☆61Updated last year
- Strain-level Metagenomic Estimation of Growth rate (SMEG) measures growth rates of microbial strains from complex metagenomic dataset☆20Updated 5 years ago
- A machine learning-based tool for predicting metabolic modules in incomplete bacterial genomes.☆18Updated 7 months ago
- R package for microbiome analysis. Provides helper functions for common workflows ranging from preprocessing to visualization.☆23Updated last year