There are 4 repositories under metagenomic-analysis topic.
Make Picrust2 Output Analysis and Visualization Easier
Graph-based assembly phasing
LRBinner is a long-read binning tool published in WABI 2021 proceedings and AMB.
Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
VirBot: a protein-based RNA virus detector for metagenomic data
This repository contains all CWL descriptions of the MGnify pipeline version 5.0.
Fast sequence vectorization for metagenomics analysis. Converts input sequences into oligonucleotide frequency vectors, fast!
Genome-on-Diet is a fast and memory-frugal framework for exemplifying sparsified genomics for read mapping, containment search, and metagenomic profiling. It is much faster & more memory-efficient than minimap2 for Illumina, HiFi, and ONT reads. Described by Alser et al. (preliminary version: https://arxiv.org/abs/2211.08157).
🐋 The Living Oceans Metagenome Taxanomic Profiling tool (beta) is a metagenomic pipeine built to work on your local ocean
Analyzing shotgun data
Optimize workflow for binning metagenomic short reads from multiple samples
KOMB is a tool for fast identification of unitigs of interest in metagenomes. KOMB introduces the concept of a Hybrid Unitig Graph (an extension to compacted de Bruijn graphs) and relies on k-core and K-truss decomposition algorithms.
MetaTrinity is a novel metagenomic analysis tool employing efficient containment search techniques and heuristics for read mapping to achieve significant speedup while maintaining high accuracy. This positions MetaTrinity as an efficient solution, optimally balancing speed and precision in metagenomic analysis.
A graphical user interface for a genomic contamination filtering pipeline to filter out reads from metagenomic files
discover-virome: identify and quantify viruses from metagenomic assemblies
Creates a simple OTU table from Kraken2 report.
Accurate taxonomic classification and abundance profiling using locality-sensitive hashing.
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.
For more information see https://sequedex.lanl.gov
Phyrvm: A one-stop software solution for RNA virus mining and host-association prediction