Metagenomic binning based on Hi-C data
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Updated
Mar 1, 2025 - Python
Metagenomic binning based on Hi-C data
This repository contains all CWL descriptions of the MGnify pipeline version 5.0.
MGKit: Metagenomics Framework
MAGqual is a command line tool to evaluate the quality of metagenomic bins and generate recommended metadata in line with the MIMAG standards
A Nextflow pipeline designed to classify, align and assemble nanopore metagenomic reads.
🐋 The Living Oceans Metagenome Taxanomic Profiling tool (beta) is a metagenomic pipeine built to work on your local ocean
Metagenomic opeRon Prediction pipeline. MetaRon presents the first pipeline for the prediction of metagenomic operons without any functional or experimental data.
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.
🐴 CLinically Okay Metagenomic Pipeline 🐴
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.
A few scripts to help with the installation of MetaErg, the contig/bin annotation pipeline
A flexible metagenomic pipeline combining read-based, assemblies and MAGs with downstream analysis
quantify-virome: identify and quantify viruses from metagenomic shotgun sequences
The following codes are focused on microbiome analysis, alpha, beta and relative abundance differences.
MetaBolt: Lightning fast & automated metagenomic pipeline powered by Nextflow
Metagenomic analysis of the project: "PROGRAMAÇÃO METABÓLICA INDUZIDA PELA SUPERLACTAÇÃO E SEUS EFEITOS NA ATIVAÇÃO DO INFLAMASSOMA NLRP3 E EXPRESSÃO DO MIR-155 EM MODELO EXPERIMENTAL DE RESISTÊNCIA À INSULINA"
Projeto de análise metagenômica e metabolômica da microbiota de mulheres no climatério - LBBM UFOP
WGS- Metasociomic- analysing bacterial social interactions in metagenomes of longitudinally collected samples of human microbiomes
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