Practical tools for quick data visualization in R 2023
This crash course was born to spread the word on the existence of R packages that offer great functions to quickly explore, present, and communicate our results.
During the sessions, we will use data visualization to try to answer questions and create new hypotheses by exploring the sample datasets and your own.
Introduction to Cluster 2022
This course will give an introduction to cluster computing in general, the basics of using Linux and using the computer clusters available at CRG and CNAG.
The course will consist of 3 sessions each of 3 hours.The first 2 will be online and will cover introductory material, the third will be in the training room and will be a hands-on workshop using the cluster and expanding on material covered in the first 2 sessions.
Practical tools for quick data visualization in R 2022
This crash course was born to spread the word on the existence of R packages that offer great functions to quickly explore, present, and communicate our results.
During the sessions, we will use data visualization to try to answer questions and create new hypotheses by exploring the sample datasets and your own.
Introduction to HPC
This is a new course for the beginners at HPC. Following topics will be addressed:
Introduction to HPC and Computing Clusters
Connecting to the CRG and CNAG clusters
Use of bash and the command line (linux primer)
Using the batch systems to submit jobs including use of job arrays and job dependencies
Efficient use of storage on the cluster
Use of git and terminal editors to improve productivity
Basics of Bioinformatics 2020
Teachers: CRG Bioinformatics core facilityDuration: 8 interactive sessions Fridays 10:00-11:30 - CRG Training CenterStart date: 24th January 2020End Date: 13th March 2020Level: Beginners/ non bioinformaticiansMaximum nº students: 19
Topics covered:
DNA, gene, and protein sequences: Protein and gene databases
Sequence comparison
Genome sequences and annotations
Gene and protein function
Protein-DNA interactions
Gene expression
Functional annotation and gens sets
Advanced Linux 2019
Advanced linux course for biologists and genomics data formats
Instructors:
Luca Cozzuto
Julia Ponomarenko
Sarah Bonnin
Learning objectives
To be able to:
Access genomics data from public repositories
Know different data formats used in genomics
Be able to use the Linux commands to parse and convert those formats
Introduction to R and data analysis 2019
Topics that will cover the course:
Introduction to R and R Studio.
Basics of R: syntax, objects, simple arithmetic.
Data types and data structures.
How to use functions.
Reading and writing files.
Installing and using packages. Getting help.
Plots in R: base plotting and introduction to ggplot2 package.
Introduction to data analysis with R.
INSTRUCTORS (CRG Bioinformatics Core Facility):
Sarah Bonnin (Module 1, 2, 3)
Julia Ponomarenko (Module 4)
Basics of Bioinformatics 2018
This course will allow any CRG student to perform basic bioinformatics
and use the most common tools for their projects. Each topic includes 1-4 short
assignments (15’ videos or short readings) that the students must undertake
during the week before the actual session (of 1h) on Fridays. During the
interactive session, the teachers answers questions and explains the next
topic.
1st February 2018 - 26th March 2018