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This course will introduce using the cluster and to highlight the way to think and strategise about running jobs on the cluster. The course will give a refresher on Linux skills before switching to discuss clusters in general and then focusing on how to use the resources at CRG.

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.

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.

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.

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.

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 

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 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

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)

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