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16s-rrna-end-to-end-analysis

Qiime2 and DADA2 are one of the latest bioinformatics tools used in 16S RNA analysis. The current Qiime2 and DADA2 pipelines support End to End 16S RNA analysis, among other analyses.

amplicon_data_analysis

Collection of notebooks describing the basic analysis workflow for a 16S rRNA gene amplicon sequencing project

amrplusplus-shiny

Shiny app for running AMR++ analytic pipeline from the Microbial Ecology Group

ar_bio

ar_lab

awesome-bioinformatics

A curated list of awesome Bioinformatics libraries and software.

bioc2016singlecell

Bioconductor workshop: Analysis of single-cell RNA-seq data with R and Bioconductor

csbb-shiny

Computational Suite for Bioinformaticians and Biologists (CSBB) is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics analysis

getting-started-with-genomics-tools-and-resources

Unix, R and python tools for genomics and data science

gibbons-lab_collaboratory

Copies of google collab projects from gibbons-lab

in-depth-ngs-data-analysis-course

metares

microbiomebestpracticereview

Current Challenges and Best Practice Protocols for Microbiome Analysis using Amplicon and Metagenomic Sequencing

ocms-blog

blog

pb-metagenomics-tools

pb-metagenomics-tools

python-for-bioinformatics

Python for Bioinformatics consist of a variety of python programmes,frequently used by bioinformaticians while handling biological data especially raw NGS data.

python-for-bioinfromatics-oct-2021

python_bioinformatics_practice

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonforbioinformatics

This repository will be helpful to start using python for your Bioinformatics projects.

qiime2

Official repository for the QIIME 2 framework.

qiime2r

Import qiime2 artifacts to R

roryk-in-depth-ngs-data-analysis-course

In-depth NGS Data Analysis Course containing all course materials for the Fall 2018 version of HBC's In-depth NGS Data Analysis Course, a 12-day course run over 6 weeks.

scrna-seq_online

scrna.seq.course

Analysis of single cell RNA-seq data course

test-genetics

test

thebasics

https://bioinfo-dirty-jobs.github.io/Thebasics/

tormes

Making whole bacterial genome sequencing data analysis easy

training-modules

Materials for short, half-day workshops

tsnemicrobiota

t-distributed stochastic neighbor embedding for microbiota data