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2017-cicese-metagenomics

2017-ucsc-metagenomics

Workshop materials for shotgun metagenomics

2018-ggg-rstudio-bioinformatics-ws-materials

2020-ggg-201b-rnaseq

2022-ggg298

Winter 2022 - Tools for Data Intensive Research at UC Davis.

2022-nyr-workshop

Code and notes for the tidymodels workshop

ads2020

Advanced Data Science 2020 Edition

advdatasci

angus

Materials for Analyzing Next-Generation Sequencing (ANGUS) course.

animal_gut_16s-uni

applied-computational-genomics

Applied Computational Genomics Course at UU: Spring 2020

awesome-bioinformatics

A curated list of awesome Bioinformatics libraries and software.

awesome-dlab

😎 Awesome lists about all kinds of topics and tools interesting to D-Labbers

awesome-genome-visualization

A list of interesting genome browser or genome-browser-like implementations

awesome-github

An exquisite list of awesome :octocat: secrets.

bglr-r

bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

bioinformatics-aret-july2018

Bioinformatics ARET - BI for NSF GEO OCE grant # 1634630

bioinformatics-resources

Github repositories on programming and bioinformatics resources for learning and training. By Nordic Computational Biology.

biom

Development version of the biom package for R

biomformat

Biom file format support in R/Bioconductor, vers. 1.x (JSON) and 2.x (HDF5) https://bioconductor.org/packages/release/bioc/html/biomformat.html

bitmab2-tutorials

Workshop materials for the Second Benthic Invertebrates, Metagenomics, and Bioinformatics Workshop at the TAMUCC Harte Institute in Corpus Christi, TX (January 15-19, 2018)

cheatsheets

RStudio Cheat Sheets

circlize_book

Documentation for circlize package

circlize_examples

circlize examples

coding-interview-university

A complete computer science study plan to become a software engineer.

comp-genomics-class

Code and examples for JHU Computational Genomics class

complexheatmap

Make Complex Heatmaps

complexheatmap-reference

Documentation of ComplexHeatmap package

cornell-cs5785-2021-applied-ml

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)