Topic: microbiome-analysis Goto Github
Some thing interesting about microbiome-analysis
Some thing interesting about microbiome-analysis
microbiome-analysis,Mothur procedures for 16S and ITS analysis
Organization: biocorecrg
microbiome-analysis,The following codes are focused on microbiome analysis, alpha, beta and relative abundance differences.
User: brochado-kith
microbiome-analysis,Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
User: cafferychen777
Home Page: https://www.microbiomestat.wiki/
microbiome-analysis,Repository for V-Xtractor an open-source, high-throughput software tool to identify and extract hypervariable regions of small subunit (16S/18S) ribosomal RNA gene sequences
User: carden24
microbiome-analysis,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).
Organization: cmu-safari
microbiome-analysis,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.
Organization: cmu-safari
Home Page: https://doi.org/10.48550/arXiv.2311.02029
microbiome-analysis,Microbiome Amplicon Analysis and Visualization
User: danielsprockett
microbiome-analysis,R package for microbiome data visualization and statistics. Uses phyloseq, vegan and the tidyverse. Docker image available.
User: david-barnett
Home Page: https://david-barnett.github.io/microViz/
microbiome-analysis,Meta-analysis of metagenomes via machine learning and assembly graphs reveals strain switches in Crohn’s disease
Organization: dib-lab
Home Page: https://dib-lab.github.io/2021-paper-ibd/
microbiome-analysis,Some of the analytical processes and tools we use to provide rigorous and actionable results to our clients.
Organization: emoryintegratedcomputationalcore
microbiome-analysis,:ocean: 16S rRNA microbiome data analysis workflow using DADA2 and R on a high performance cluster using SLURM
User: erictleung
microbiome-analysis,topological data analysis of population-scale microbiomes
Organization: gpz-bioinfo
Home Page: https://tmap.readthedocs.org
microbiome-analysis,Current Challenges and Best Practice Protocols for Microbiome Analysis using Amplicon and Metagenomic Sequencing
Organization: grimmlab
Home Page: https://www.bit.cs.tum.de/
microbiome-analysis,Do microbiome analysis with dada2 and phyloseq object
User: guokai8
microbiome-analysis,accessory functions for processing microbial community data
User: itsmisterbrown
microbiome-analysis,Early Life Microbiome Toolbox
User: jelenabanjac
microbiome-analysis,A reference-free statistical approach to diversity-generating & mobile genetic element discovery
User: jordiabante
microbiome-analysis,microbiome analysis of ant colonies
User: k8hertweck
microbiome-analysis,Functions to manipulate and visualize microbial community data
Organization: lebeerlab
Home Page: https://lebeerlab.github.io/tidytacos/
microbiome-analysis,This pipeline is intended to be a convenient way to work though large sets of metagenomic or metatranscriptiomic datasets while also retaining high analytical flexibility due to retained intermediate results that might be useful outside of the intended purpose.
User: leondlugosch
microbiome-analysis,A computational pipeline for high-resolution profiling of low abundance microbiome in clinical samples using whole genome shotgun sequencing
User: liuyu8721
microbiome-analysis,R scripts used for the analysis of microbiomes associated with stony coral tissue loss disease (SCTLD) in the Florida Reef Tract
Organization: meyermicrobiolab
microbiome-analysis,Microbiome Analysis Plotting and Visualization
Organization: microbiome
Home Page: https://microbiome.github.io/miaViz
microbiome-analysis,microbiome R package
Organization: microbiome
microbiome-analysis,The is mostly a wrapper tool using phyloseq and microbiome R packages.
User: microsud
Home Page: https://microsud.github.io/microbiomeutilities/
microbiome-analysis,A list of R environment based tools for microbiome data exploration, statistical analysis and visualization
User: microsud
Home Page: https://microsud.github.io/Tools-Microbiome-Analysis/
microbiome-analysis,Metagenomics calibration R package
User: mikemc
Home Page: https://mikemc.github.io/metacal
microbiome-analysis,A selection of analytical approaches, tools, and utilities for the processing of microbiome data derived from either 16S rRNA amplicon sequencing or shotgun metagenomics.
Organization: mucosal-immunology-lab
microbiome-analysis,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.
User: muia2021pl
microbiome-analysis,Peptide-centric functional enrichment tool
Organization: northomics
microbiome-analysis,The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:
Organization: opencobra
Home Page: https://opencobra.github.io/cobratoolbox
microbiome-analysis,🦠 📓 a microbiome paper
Organization: pnnl
Home Page: https://rdcu.be/brTdr
microbiome-analysis,Qiita - A multi-omics databasing effort
Organization: qiita-spots
Home Page: http://qiita.microbio.me
microbiome-analysis,biomeUtils is Module-01 of the RIVM-ToolBox. R pkg with common utilities for microbiome research done at the RIVM.
Organization: rivm-iiv-microbiome
Home Page: https://rivm-iiv-microbiome.github.io/biomeUtils/
microbiome-analysis,Various functions for analysis of microbial community data
User: russel88
microbiome-analysis,process raw reads from ubiome
User: rwst
microbiome-analysis,Tools for phylogenetic data analysis including visualization and cluster-computing support.
User: smdabdoub
Home Page: http://phylotoast.org
microbiome-analysis,Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations
Organization: statdivlab
Home Page: https://statdivlab.github.io/paramedic/
microbiome-analysis,Microbiome analysis for phosphate-defense interaction
User: surh
microbiome-analysis,Using a universal reference database, mixed assemblies, and cutting-edge software to give you the quantitative community phylogeny, a complete community functional analysis, and many strain(ish)-level high-quality bins.
User: tealfurnholm
microbiome-analysis,iMAP v1.0 (Pre-release): Integrated Microbiome Analysis Pipeline
User: tmbuza
Home Page: https://rdcu.be/bIxrg
microbiome-analysis,The scripts contained in this repository relate directly to the work conducted by the Tree Root Microbiome Project (TRMP) led by Dr Steve Wakelin.
User: tomc-93
microbiome-analysis,A comprehensive and customizable R package for microbiome analysis.
Organization: vallenderlab
Home Page: https://vallenderlab.github.io/MicrobiomeR/
microbiome-analysis,Analyses in R and Python Using curatedMetagenomicData
Organization: waldronlab
Home Page: https://waldronlab.io/curatedMetagenomicDataAnalyses/
microbiome-analysis,A Collection of Bioinformatics Projects
User: wijerasa
microbiome-analysis,Code for reproducing results published in the paper: "Consistent changes in the intestinal microbiota of Atlantic salmon fed insect meal diets"
User: yanxianl
microbiome-analysis,An interactive web application that provides a flexible graphical user interface (GUI) to the Reverse Ecology analysis package for R
User: yiluheihei
microbiome-analysis,:microbe: A comprehensive R package for deep mining microbiome
Organization: yulab-smu
Home Page: https://www.sciencedirect.com/science/article/pii/S2666675823000164
microbiome-analysis,Use MFMDM and MFMDTM to cluster microbiome data
User: yushushi
microbiome-analysis,The Microbiome Explorer provides methods to analyze and visualize microbial community sequencing data either from the R command line or through a Shiny application. Written by Janina Reeder and Joseph N. Paulson.
User: zoecastillo
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