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bioinformaticsdotca/INR_2023

R script R
fhdsl/Ethical_Data_Handling_for_Cancer_Research

Data management FAIR data
fhdsl/NIH_Data_Sharing

Data management FAIR data
fhdsl/Tools_for_Reproducible_Workflows_in_R

R markdown R Rmarkdown Version control
bioinformatics-core-shared-training/SingleCell_RNASeq_Jan23

Sequencing RNA-Seq Single-cell sequencing Transcriptomics R Next generation sequencing RNA-seq
RockefellerUniversity/RU_VisualizingGenomicsData

Data visualisation Genomics Data visualization R
Introduction to Viral Bioinformatics

• beginner
genes and genomes infectious disease medicine and health services and resources training
Computer Software, workflow

How to use V-pipe (SARS-CoV-2 data)

• beginner
Virology Genetic variation Workflows Variant calling Alignment Read pre-processing coronavirus NGS bioinformatics Variant-calling
Course design: Considerations for trainers – a Professional Guide

Curriculum development, course design, learning outcomes, Bloom's Taxonomy, assessment, course evaluation, training trainers, training material
Training materials

Using bioinformatics to hunt SARS-CoV-2, its variants & its origins – a practical guide

• beginner
Bioinformatics for schools, basic bioinformatics, SARS-CoV-2 pandemic, genome analysis, protein sequence analysis, protein structure analysis, virus variants, spike protein, training material
sib-swiss/spatial-transcriptomics-training

Transcriptomics R Spatial transcriptomics
IFB Shiny training

•• intermediate
R-programming Reproducible Science
rstudio/rmarkdown-book

R markdown R Rmarkdown
moderndive/ModernDive_book

Statistics and probability R Data science Statistics
learnbyexample/cli-computing

Unix/Linux
oscarbaruffa/BigBookofR

R script R
JuliaAcademy/DataScience

Data science Julia
e-learning

BLAST and multiple sequence alignment (MSA) programs

• beginner
Sequence analysis Blast Multiple sequence alignment
BLAST and multiple sequence alignment (MSA) programs

• beginner
Blast E learning Multiple sequence alignment
bioinformaticsdotca/MET_2023

Metabolomics
RockefellerUniversity/RU_tidyverse_core

R script R
e-learning

UNIX Fundamentals

• beginner
Computer science Problem based learning Programming Unix
Tutorial, Slideshow, e-learning

High Performance Computing (HPC) in Life Sciences

• beginner
Computer science Bioinformatics Biology High performance computing high-performance computing
e-learning

ISMARA: A tool to infer genome-wide regulatory interactions

• beginner
Systems biology Gene regulation Transcription factors and regulatory sites Computational modelling
tidyverse/datascience-box

R script R Data science
e-learning

Cellosaurus : A resource on cell lines

• beginner
Biosciences Experimental design and studies basic research Reproducibility cell line
First Steps with Python in Life Sciences

• beginner
data management data visualisation programming reproducibility training torsten schwede & thierry sengstag group mark ibberson group
e-learning

neXtProt : Exploring human proteins

• beginner
Proteins Proteomics Proteins (proteins) human
Version Control with Git

• beginner
programming,reproducibility,data management programming,reproducibility,data management,training
Vital-IT Infrastructure Usage

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bioinformaticsdotca/INR_2023

fhdsl/Ethical_Data_Handling_for_Cancer_Research

fhdsl/NIH_Data_Sharing

fhdsl/Tools_for_Reproducible_Workflows_in_R

bioinformatics-core-shared-training/SingleCell_RNASeq_Jan23

RockefellerUniversity/RU_VisualizingGenomicsData

Introduction to Viral Bioinformatics

How to use V-pipe (SARS-CoV-2 data)

Course design: Considerations for trainers – a Professional Guide

Using bioinformatics to hunt SARS-CoV-2, its variants & its origins – a practical guide

sib-swiss/spatial-transcriptomics-training

IFB Shiny training

rstudio/rmarkdown-book

moderndive/ModernDive_book

learnbyexample/cli-computing

oscarbaruffa/BigBookofR

JuliaAcademy/DataScience

BLAST and multiple sequence alignment (MSA) programs

BLAST and multiple sequence alignment (MSA) programs

bioinformaticsdotca/MET_2023

RockefellerUniversity/RU_tidyverse_core

UNIX Fundamentals

High Performance Computing (HPC) in Life Sciences

ISMARA: A tool to infer genome-wide regulatory interactions

tidyverse/datascience-box

Cellosaurus : A resource on cell lines

First Steps with Python in Life Sciences

neXtProt : Exploring human proteins

Version Control with Git

Vital-IT Infrastructure Usage

Data Visualisation with R

Enrichment Analysis

ViralZone and the Revolution in 3D Virus Structure

Reproducible and Scalable Research with Snakemake and Software Containers

Data Analysis and Representation in Python

First Steps with R in Life Sciences

Introduction to Machine Learning with Python

Ensuring More Accurate, Generalisable, and Interpretable Machine Learning Models for Bioinformatics

Diving into deep learning - theory and applications with PyTorch

Statistics and Machine Learning for Life Sciences

Introduction to Machine Learning with Python

Introduction to High-performance Computing (sciCORE Cluster)

First Steps with R in Life Sciences

Introduction to Statistics with R

Multiomics Data Analysis and Integration

UniProt: Focus on Plant Proteins

Submitting, Finding and Downloading Raw Sequencing Data with ENA

Enrichment Analysis

Statistics and Machine Learning for Life Sciences

Spatial Omics Data Analysis

Cancer Variant Analysis

NGS - Quality Control, Alignment, Visualisation

Long-read Sequence Analysis

NGS - Quality Control, Alignment, Visualisation

Enrichment Analysis

First Steps with SQL for Data Science

Introduction to Bayesian Statistics with R

Docker and Singularity for Reproducible Research: Getting Started with Containers

First Steps in Parallelization with OpenMP

Snakemake for Reproducible Research: Getting Started with Workflows

SIB Swiss Institute of Bioinformatics

Glittr.org

BY-COVID