vdda Goto Github PK

2019-04-15-elixir-france

4oss-lesson

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

atlas

Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas

beacon-2.x

Beacon v2.x

beacon-team

GA4GH Beacon team repo

bh2018paris

BioHackathon event website

biohackathon

Repository with information about the BioHackathon hosted in Paris in Nov 2018

bioinformatics-training

Bioinformatics training resources

cdna_primer

Scripts for processing PacBio transcriptome (Iso-Seq) data

command_line_bootcamp

:computer: command-line bootcamp adventure in your browser

comparative-annotation-toolkit

containers-rules-manuscript

Recommendations to contenarized your bioinformatics software

coronaobj

course2017

Genomics lessons for week 4 of the Microbial Diversity course at the Marine Biological Lab in Woods Hole., MA

covid-19-bh20

COVID-19 Biohackathon April 5-11 2020

cshl-singlecell-2017

Single Cell Analysis course at Cold Spring Harbor Laboratory 2017

d4gen-genopole-gards-chsf-obj-

daisy

Data Information System (DAISY) is a data bookkeeping application designed to help Biomedical Research institutions with their GDPR compliance.

data-science-at-the-command-line

Data Science at the Command Line

delafuente-rhodes-solorio-srivastava-weatherly-replication-project

Data 598 - Reproducibility for Data Science - Replication Project

django_blog

A nice tutorial about django

docker-distributed

Experimental docker-compose setup to bootstrap distributed on a docker-swarm cluster.

docker-ipython-notebook

:whale: :microscope: :books: IPython running in a docker container. This image can be used to integrate IPython into Galaxy

docker-reproducible-research

A course on using Docker for reproducible research based on the AuthorCarpentry templage

drwhy

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

ds4stats

Data science for statisticians workshop

edamontology

EDAM is an ontology of bioinformatics types of data including identifiers, data formats, operations and topics.

elixir-ml-biostats-hackathon

Working repo for the ELIXIR lesson hackathon on Machine Learning and Biostatistics

excelerate-ttt

Materials for ELIXIR-EXCELERATE Train The Trainer workshops and courses