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CHANGES.rmd
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---
title: "Change log"
output: html_document
---
# List of R tools for microbiome data analysis
## Change log 11 April, 2023
* Microbiome Tools
* ggpicrust2
* mEQO
## Change log 28 December, 2022
* Microbiome Tools
* adaANCOM
* benchdamic
* C3NA
* microshades
* GMEmbeddings
* prokounter
* LOCOM
* endoR
* specificity
* OmicsLonDA
* LDM
* POST
* phyloMDA
* MiDAT
* BiomeHorizon
* dysbiosisR
* MiRKAT-MC
* EasyMicroPlot
* MIMOSA2
* MZINBVA
* timeOmics
* CoDaCoRe
* cmmb
* MiATDS
* RobZS
* Tax4Fun2
* EzMAP
* iNMF
* microRMS
* Other Tools
* DataExplorer
## Change log 24 December, 2021
* Tutorials and Educational Resources
* Hannah Freund. Amplicon Analysis Workflow
* Tully, B. J. et al. BVCN
* Microbiome Tools
* MicrobiomeStat
* Rbec
* AMR
* MicrobiomeProfiler
* Tweedieverse
* MINA
* Other Tools
* TreeHeatmap
* Fastverse
## Change log 13 October, 2021
* Other Tools
* Added gggenes, gggenomes
* Added ggplot2 gallery
* Microbiome Tools
* rANOMALY
* SuRF
* timeOmics
* CMMB
* MiATDS
* RobZS
## Change log 11 September, 2021
* Added Contributors section
* Added resources new 8 to 10
* Added 'Additional' resources suggested by Svetlana UP to Controls section
* Added OTU/ASV debate Controls section
## Change log 08 August, 2021
* Tools
* diffTop and microeco added
* GitHub actions testing for website rendering
## Change log 04 August, 2021
* Added Tutorials and Educational Resources
## Change log 22 May, 2021
* Revamped website
* Tools
* metaSPARSim added
* References for Controls in Microbiome Research
## Change log 07 May, 2021
* Tools
* ANCOM-BC added next to ANCOM
* ALDEx2 [Analysis Of Differential Abundance Taking Sample Variation Into Account](https://bioconductor.org/packages/release/bioc/html/ALDEx2.html)
* CoDaSeq [Functions for compositional analysis of high throughput sequencing](https://github.com/ggloor/CoDaSeq)
* DivNet [An R package to estimate diversity when taxa in the community cooccur via a ecological network](https://github.com/adw96/DivNet)
## Change log 20 March, 2021
* Tools
* MicrobiomeExplor [An R package for the analysis and visualization of microbial communities](https://doi.org/10.1093/bioinformatics/btaa838)
* MicroBVS [Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-03640-0)
* MicroNiche [An R package for assessing microbial niche breadth and overlap from amplicon sequencing data](https://academic.oup.com/femsec/article-abstract/96/8/fiaa131/5863182?redirectedFrom=fulltext)
* NMIT [Microbial Interdependence Association Test--a Non-parametric Microbial Interdependence Test](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696116/#!po=75.0000)
* NetCoMi [Network construction and comparison for microbiome data in R](https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbaa290/6017455)
* NBZIMM [Negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-03803-z)
* selbal [Balances: a New Perspective for Microbiome Analysis](https://msystems.asm.org/content/3/4/e00053-18)
* tidyMicro [A pipeline for microbiome data analysis and visualization using the tidyverse in R](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-03967-2)
* Microbiome data sets
* HMP16SData [Efficient Access to the Human Microbiome Project through Bioconductor](https://bioconductor.org/packages/release/data/experiment/html/HMP16SData.html)
* HMP2Data [16s rRNA sequencing data from the Human Microbiome Project 2](https://bioconductor.org/packages/release/data/experiment/html/HMP2Data.html) *microbiomeDataSets [Experiment Hub based microbiome datasets](https://bioconductor.org/packages/devel/data/experiment/html/microbiomeDataSets.html)
* curatedMetagenomicData [Accessible, curated metagenomic data through ExperimentHub](https://bioconductor.org/packages/release/data/experiment/html/curatedMetagenomicData.html)
* Other tools
* [Antoni Susin, Yiwen Wang, Kim-Anh Lê Cao, M.Luz Calle.: Variable selection in microbiome compositional data analysis: tutorial](https://malucalle.github.io/Microbiome-Variable-Selection/)
* Reformatted the code for website
* Added Changes log
* Added Acknowledgments
Shetty, Sudarshan A., and Leo Lahti. [Microbiome data science. Journal of biosciences 44, no. 5 (2019): 115](https://link.springer.com/article/10.1007%2Fs12038-019-9930-2).
[*Pre-print*](https://openresearchlabs.github.io/publications/papers/2019-Shetty-MDS.pdf)
Zendo: [![DOI](https://zenodo.org/badge/99698135.svg)](https://zenodo.org/badge/latestdoi/99698135)