Topic: 16s-rrna Goto Github
Some thing interesting about 16s-rrna
Some thing interesting about 16s-rrna
16s-rrna,Code and report for a small tool to optimize 16S sequencing pipelines
User: accoleon
16s-rrna,16s rRNA Sequencing Meta-analysis Reproducibility Tool (using mothur).
User: achillesrasquinha
16s-rrna,Analysis of the gut microbiome of Amyotrophic Lateral Sclerosis (ALS) patients using the DADA2 workflow
User: ahmedmoustafa
Home Page: https://ahmedmoustafa.github.io/ALS/
16s-rrna,Sequence based 16S rRNA Taxonomic classifier using MLP
User: ali-kishk
16s-rrna,BSc project: metagenomic analysis of urban park soil. Breakdown of some of the code I used can be viewed on this website:
User: astrdhr
Home Page: http://astrdhr.github.io/metagenomics-research
16s-rrna,Prepare a report for taxonomic assignment based on 16S rRNA sequences, using BLAST.
Organization: bccdc-phl
16s-rrna,Analysis of skin microbiome of Rana luteiventris frogs from northern Idaho and eastern Washington using QIIME 2, LEfSe, and R.
User: benficaphil
16s-rrna,QIIME2 worklflow. From raw data to a feature table.
User: biomarv
16s-rrna,Make Picrust2 Output Analysis and Visualization Easier
User: cafferychen777
Home Page: https://cafferychen777.github.io/ggpicrust2/
16s-rrna,Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
User: cafferychen777
Home Page: https://www.microbiomestat.wiki/
16s-rrna,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.
User: cafferychen777
Home Page: https://www.microbiomestat.wiki/
16s-rrna,Easy-to-use tool facilitating work with Mothur.
User: dizak
Home Page: https://dizak.github.io/mothulity
16s-rrna,NGS4ECOPROD - An easy-to-use conda environment and pipelines for metagenome sequence analysis
User: dschnei1
16s-rrna,Chloroplast 16S removal from Metagenomics samples (or any NGS samples)
User: gaarangoa
16s-rrna,A novel taxonomy-independent deep learning microbiome approach allow for accuaret classification of human epithelial materials
Organization: genid
16s-rrna,Current Challenges and Best Practice Protocols for Microbiome Analysis using Amplicon and Metagenomic Sequencing
Organization: grimmlab
Home Page: https://www.bit.cs.tum.de/
16s-rrna,SCRAPT: An Iterative Algorithm for Clustering Large 16S rRNA Gene Datasets
User: hsmurali
16s-rrna,The impact of transitive annotation on the training of taxonomic classifiers
User: hsmurali
16s-rrna,Repository for manuals for NGS data analysis
User: iliapopov17
16s-rrna,Amplicon sequencing workflow with snakemake and dada2
Organization: imcbioinformatics
16s-rrna,Chemical metrics for microbial communities
User: jedick
Home Page: https://chnosz.net/chem16S
16s-rrna,MicrobioSee2, a desktop sofware for visulization of microbiome result, which contian multiple modules, such as Alpha Diversity, Beta Diversity, Species Conpositions, volcano plot, and pie chart.
User: jinhuili-lab
Home Page: https://jinhuili-lab.github.io/
16s-rrna,Trying to help a colleague get a 16s-rRNA-Sanger snakemake pipeline working.
User: leahkemp
Home Page: https://leahkemp.github.io/running_16S_rRNA_pipeline/
16s-rrna,Evaluación del impacto del proceso de rarefacción en la detección de comunidades microbianas en datos de amplicones ARNr 16S
User: lmg9509
16s-rrna,Full-length bacterial 16S rRNA marker genes from a diverse wastewater sample set. LaMartina, et al., ASM Resource Announcement, 2022
User: loulanomics
16s-rrna,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/
16s-rrna,Next Generation Phylogenetic Microbiome Analysis Framework
User: mmtechslv
16s-rrna,PAAT uses phylogenetic trees to refine differential abundance signals
User: mruehlemann
16s-rrna,Data and code for Kimbell et al., 2021
User: newtonlabuwm
16s-rrna,Data and code for LaMartina et al., 2021
User: newtonlabuwm
16s-rrna,A tool to identify and extract the commonly used ITS folding motifs from a 16s-23s rRNA sequence.
User: nlabrad
16s-rrna,RiboTaxa: combined approaches for rRNA genes taxonomic resolution down to the species level from metagenomics data revealing novelties.
User: oschakoory
Home Page: https://academic.oup.com/nargab/article/4/3/lqac070/6708509
16s-rrna,Fast, accurate taxonomic assignments for the human vaginal microbiota
User: ravel-lab
16s-rrna,Automated 16S sequence extraction using Barrnap output gff files
User: raymondkiu
16s-rrna,Fast microbial species identification (16S rRNA gene-based approach) and contamination check using whole genome assemblies
User: raymondkiu
16s-rrna,Scripts for analysis of metatranscriptomic and 16S rRNA amplicon data from wild oysters in Narragansett Bay
User: rjstevick
16s-rrna,process raw reads from ubiome
User: rwst
16s-rrna,Snakemake template for microbial amplicon sequence analysis with mothur.
Organization: schlosslab
16s-rrna,The Microbial Co-occurrence Network Explorer
Organization: segrelab
Home Page: https://micone.readthedocs.io
16s-rrna,Estimating Phylogenetic trees using six microorganisms 16S rRNA gene with Unsupervised Learning, web based tools and Molecular Evolutionary Genetics Analysis MEGA7
User: shuyib
Home Page: https://github.com/Shuyib/Phylogenetic-tree-study/wiki
16s-rrna,Microbial community dynamics during key life-history transitions in the chemosymbiotic mussel, Gigantidas childressi
User: tessabeaver
Home Page: https://cedar.wwu.edu/cgi/viewcontent.cgi?article=2145&context=wwuet
16s-rrna,This is an automatic pipeline for analysis of amplicon sequence data including 16S, 18S and ITS. It wraps QIIME commands and complements them with additional analysis where QIIME is not good at, such as combine multiple sequencing runs, OTU clustering and chimeric removal with UP ARSE, alignment filtering with Gblock, removing Chloroplast sequences.
User: tianrenmao
16s-rrna,iMAP v1.0 (Pre-release): Integrated Microbiome Analysis Pipeline
User: tmbuza
Home Page: https://rdcu.be/bIxrg
16s-rrna,The `crest4` python package can automatically assign taxonomic names to DNA sequences obtained from environmental sequencing.
User: xapple
16s-rrna,The `pacmill` python package is a bioinformatics pipeline that is developed to process microbial 16S amplicon sequencing data and produce PDF reports detailing taxonomical assignments along with other statistics.
User: xapple
16s-rrna,Repository for 16S paper
User: zhangyang2017
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