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qiime2chinesemanual

QIIME 2中文文档(QIIME 2 Chinese Manual)

r-bioinformatics-cookbook

R Bioinformatics Cookbook, published by Packt

r-for-data-analysis

r2dt

Visualise RNA secondary structure in consistent, reproducible and recognisable layouts

r4ds

R for data science

rbook

Source files for "Learning Statistics with R"

rdnatools

Analysis tools for rDNA seqencing using PacBio

repeatmodeler

De-Novo Repeat Discovery Tool

repeatprofiler

reproducible-computational-workflows

A Practical Introduction to Reproducible Computational Workflows (ISMB/ECCB 2019 Tutorial AM4)

reproducible-research

A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker

reprophylo

Reproducible Phylogenomics

resources

PyMC3 educational resources

rethinking

Statistical Rethinking course and book package

revbayes

revbayes.github.io

revbayes_tutorial

Compilation of tutorials for RevBayes

rgbif

Interface to the Global Biodiversity Information Facility API

rmarkdown-book

R Markdown: The Definitive Guide (published by Chapman & Hall/CRC in July 2018)

rna-phase-3

Phylogenetic inference and model selection for RNA genes

rna-playground

Visualize the inner workings of RNA bioinformatics algorithms for structure prediction, interaction prediction and sequence alignment.

rna-seq_comparison_pipeline

rna-sequence-analysis-non-model-species-eastern-larch

rnaseq_tutorial

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

rotl

Interface to Open Tree of Life API

rphylip

An R interface for PHYLIP.

rrtools-repro-research

Tutorial on Reproducible Research in R with rrtools

sars-cov-2

Initial analysis of COVID-19 data using Galaxy, BioConda and public research infrastructures

scientific-visualization-book

❗️WIP❗️An open access book on scientific visualization using python and matplotlib

scipy2017_simplecomputationalstats_tutorial