SchlossLab / Topcuoglu_ML_mBio_2020Links
Best practices for applying machine learning to bacterial 16S rRNA gene sequencing data
☆31Updated 4 years ago
Alternatives and similar repositories for Topcuoglu_ML_mBio_2020
Users that are interested in Topcuoglu_ML_mBio_2020 are comparing it to the libraries listed below
Sorting:
- A manually curated database of human gut metabolic modules.☆18Updated 6 years ago
- Time-Course Multi-Omics data integration☆25Updated last year
- A shiny package for microbiome functional enrichment analysis☆37Updated last month
- Analysis of (gut) microbiome in Qiime2 and R.☆20Updated 9 months ago
- ☆15Updated 5 years ago
- ☆30Updated 4 years ago
- A Reference Pathways Mapper for turning metagenomic functional profiles into pathway/module profiles.☆27Updated 6 years ago
- ☆30Updated 9 months ago
- Model-based Genomically Informed High-dimensional Predictor of Microbial Community Metabolic Profiles☆35Updated last year
- ☆32Updated last year
- ☆14Updated 3 years ago
- ☆23Updated 5 years ago
- NastyBugs: a simple method for extracting antimicrobial resistance information from metagenomes☆21Updated 6 years ago
- R shiny app for interactive microbiome analysis☆55Updated last year
- MTD: a unique pipeline for host and meta-transcriptome joint and integrative analyses of RNA-seq data☆16Updated last year
- gutSMASH☆53Updated 5 months ago
- Analysis framework for integrating gut microbiome and host gene expression data☆32Updated 3 years ago
- Accurate estimation and robust modelling of translation dynamics at codon resolution☆20Updated 7 years ago
- Exploration of Omics data☆25Updated 4 years ago
- Code and manual of the endoR R-package (Ruaud et al, in preparation).☆12Updated last year
- R package for microbiome analysis. Provides helper functions for common workflows ranging from preprocessing to visualization.☆23Updated last year
- A comprehensive and customizable R package for microbiome analysis.☆23Updated last week
- A general metagenomics data mining system focus on robust microbiome research☆57Updated 8 months ago
- The Github Page with some of the information pertaining to the YouTube videos.☆12Updated 4 years ago
- A set of R functions that help faciliate a lot of tedious processing☆18Updated 6 years ago
- Materials for the STAMPS 2022 course at the MBL in Woods Hole, MA, USA☆21Updated 2 years ago
- ☆27Updated last year
- pathway based data integration and visualization☆41Updated 2 months ago
- Computational workflows for metagenomics tasks, by the Bhatt lab☆47Updated 2 years ago
- Batch effects removal for microbiome data via conditional quantile regression☆28Updated 2 years ago