RESOURCES AND TRAININGS ONLINE

Internal Training Pyramid In this collection of online resources you will find internal and external courses, and educational material for self-paced study. The courses are organized in four different categories:

  • Research & technology,
  • Open science & Responsible Research Innovation
  • Knowledge transfer
  • Career coaching
Everybody is encouraged to upload a course that might be of interest to the broader scientific community by sending an email to training@crg.eu or via this link HERE .


        
 
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Online TRAINING resources of interest                                              






  

Advanced Linux

Advanced linux course for biologists and genomics data formats


Link to the resource:
 https://biocorecrg.github.io/advanced_linux_2019/
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An Introduction to Statistical Learning with Applications in R

This book provides an introduction to statistical learning methods. It is aimed for upper-level undergraduate students, masters students and PhD students in the non-mathematical sciences. The book also contains a number of R labs with detailed explanations on how to implement the various methods in real-life settings and should be a valuable resource for a practising data scientist.


Link to the resource:
 An Introduction to Statistical Learning
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Analysing and visualising microbiome-derived datasets using the MGnify Web API

MGnify (formerly EBI Metagenomics) is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly data. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets drawn from the European Nucleotide Archive (ENA). 

This webinar will provide an overview of the MGnify API and its use, including how to execute API calls from the browser; where to find documentation; how to use filtering and pagination; available output formats; and scripting examples in Python and R. The webinar will assume a degree of familiarity with the microbiome-derived data in MGnify.

This webinar is aimed at individuals who wish to learn more about the MGNify API. Some familiarity with MGNify and programmatic access methods is recommended.

This webinar was recorded on 28 November 2018. It is best viewed in full screen mode using Google Chrome. The slides from this webinar can be downloaded below. The scripts that Ola used in the demonstration along with other examples can be found can be found on GitHub. Documentation on the MGnify API can be found on the MGnify website.



Link to the resource:
 Analysing and visualising microbiome-derived datasets using the MGnify Web API
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ArrayExpress: Quick tour

This quick tour provides an overview of EMBL-EBI’s functional genomics database ArrayExpress.

An undergraduate-level understanding of biology is an advantage. You may wish to have a look at our Functional genomics: An introduction to EMBL-EBI resources before taking this course. 

Want to know more about ArrayExpress? After finishing the Quick Tour you can move onto our more comprehensive ArrayExpress course ArrayExpress: Discover functional genomics data quickly and easily



Link to the resource:
 ArrayExpress: Quick tour
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Bacterial Genomes: Disease Outbreaks and Antimicrobial Resistance

Explore the genomes of bacteria and the use of genome sequencing to track harmful disease and AMR.


Link to the resource:
 https://www.futurelearn.com/courses/introduction-to-bacterial-genomics
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Bacterial Genomes: From DNA to Protein Function Using Bioinformatics

Use bioinformatics to explore DNA sequences and protein functions, to find the determinants of virulence in microbes.


Link to the resource:
 Bacterial Genomes: From DNA to Protein Function Using Bioinformatics
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Bioinformatics for biologists

Introduction to bioinformatics for biologists.

This 8-module (1h30 each) course does not require any prior knowledge in bioinformatics. In all modules we will introduce important concepts of bioinformatics and sequence analysis and use public online tools and databases.

No LINUX/programming skills required.


Link to the resource:
 https://biocorecrg.github.io/CRG_Bioinformatics_for_Biologists/
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Bioinformatics for the terrified

This course will give you a broad overview of how bioinformatics can enable bench-based research. It is aimed at experimental researchers in the molecular life sciences who have little or no previous experience of using bioinformatics databases or tools.

An undergraduate degree in a subject related to the molecular life sciences would be an advantage.



Link to the resource:
 Bioinformatics for the terrified
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Bioinformatics resources for SARS-CoV-2

This page contains links to bioinformatics resources useful to track the evolution and progression of the SARS-CoV-2 virus as well as to manage genomics data of the virus.


Link to the resource:
 http://www.clinbioinfosspa.es/CovidResources
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Biomodeling

The center aims to enable larger and more accurate systems biology models, as well as their applications to science, bioengineering, and medicine by enhancing their understandability, reusability and reproducibility.



Link to the resource:
 https://reproduciblebiomodels.org/dissemination-and-training/seminar/
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