Training

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February 2020 - CRG course "Introduction to R" 2020: CRG Internal course for Introduction to R (https://biocorecrg.github.io/CRG_RIntroduction/)
February 2020 - RNA-seq data analysis: Course given at the Institut Pasteur Tunis as part of the EU PHINDaccess project. (https://biocorecrg.github.io/PHINDaccess_RNAseq_2020/)
January 2020 - Bioinformatics for biologists 2020: 8 session modules CRG Internal Course as Introduction to Bioinformatics for biologists. (https://biocorecrg.github.io/CRG_Bioinformatics_for_Biologists/)
October 2019 - Linux for biologists. Internal PhD course: Course about ChiP-SEQ, different biological data formats and Linux Bioinformatics tools. (https://biocorecrg.github.io/PhD_course/)
May 2019 - Introduction to RNA-seq data analysis: The 14-hour hands on course on how to analyze RNA-seq data: data formats, quality control, mapping, differential expression, functional analysis. A small RNA-seq project was handed to the trainees who had one week to process it. It was then discussed during a final 4-hour session. (https://biocorecrg.github.io/RNAseq_course_2019/)
March 2019 - Advanced linux course for biologists and genomics data formats: Two three-hour sessions to understand some of the main genomics data formats (fasta, fastq, gtf, bed...) and to learn how to parse them. (https://biocorecrg.github.io/advanced_linux_2019/)
February 2019 - CRG course: Introduction to R and exploratory data analysis - February/March 2019: The eight three and a half-hour hands-on sessions of how to use R-Studio, learn and practice the basics in R, perform plotting and exploratory data analysis. (https://biocorecrg.github.io/CRG_RIntroduction/)
December 2018 - Introduction to containers - December 2018 and January 2019: The two four-hour hands-on sessions of how to create and use containers (Docker and Singularity). (https://github.com/biocorecrg/containers-course)
March 2018 - CRG course: Introduction to R - March/April 2018: The four four-hour hands-on sessions of how to use R-Studio, learn and practice the basics in R, and perform basic plotting and data analysis. (https://biocore.crg.eu/wiki/CRG_Introduction_to_R_2018)
October 2017 - CRG PhD Course 2017-2018 "Introduction to Statistics in R": The three two-hour hands-on sessions of how to use R-Studio and perform basic plotting and data analysis. (https://biocore.crg.eu/wiki/CRG_PhD_Course_2017_Introduction_to_Statistics_in_R)
July 2017 - CRG course "Introduction to R" 2017: 12h very slow paced hands-on to learn how to use R. (https://biocore.crg.eu/wiki/CRG_Introduction_to_R_July2017)
May 2017 - CRG course "Introduction to Statistics and R programming", May - June, 2017: In this course, the introduction to R is offered in 4 slow-paced practicums for absolute beginners, followed by 3 fast-paced practicums of statistical modules. The statistics material is offered in 3 consecutive modules, each containing a morning lecture and an afternoon practicum in a computer class. (https://biocore.crg.eu/wiki/CRG_Introduction_to_Statistics_and_R_2017)
October 2016 - CRG PhD/Master course 2016-2017 "Introduction to Statistics in R": The hands-on sessions of how to use R-Studio and perform basic plotting and data analysis. (https://biocore.crg.eu/wiki/CRG_PhD_&_Masters_Course_2016_Introduction_to_Statistics_in_R)
May 2016 - BIST Course "Introduction to Statistics in R": This introductory course to Statistics and Probability theory was modeled after the university-level course Statistics 101. (https://biocore.crg.eu/wiki/BIST_Introduction_to_Statistics_2016)

  • Linux & CRG Cluster Usage. The courses on basic Linux and how to use the CRG cluster are regularly run by the CRG SIT Unit and can be found at the SIT website (accessible only from CRG network).
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