Workshops and courses

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EMBL-EBI: Protein Sequence Databases with UniProt

This workshop aims to give the scientific community hands on experience on how to access and effectively use protein data in [UniProt](http://www.uniprot.org/). UniProt is a high-quality, comprehensively and thoroughly annotated protein resource. Participants will be able to access detailed information on protein function and millions of protein sequences in the UniProt knowledgebase, including isoforms and disease variants.

EMBO Practical Course on Metabolomics Bioinformatics for Life Scientists

Overview This course will provide an overview of key issues that affect metabolomics studies, handling datasets and procedures for the analysis of metabolomics data using bioinformatics tools. It will be delivered using a mixture of lectures, computer-based practical sessions and… The post EMBO Practical Course on Metabolomics Bioinformatics for Life Scientists appeared first on Dutch Techcentre for Life Sciences.

EMBL-EBI: Ontologies in life sciences - examples from GO and EFO

This course will give an introduction to the basic concepts of ontologies and how they are useful in biological applications. We will explain what a biomedical ontology is and present the two primary types of ontology: (i) domain ontology and (ii) application ontology, using examples as [Gene Ontology (GO)](http://www.geneontology.org/) and [Experimental Factor Ontology (EFO)](http://www.ebi.ac.uk/efo/).

3rd Advanced in silico Drug Design workshop/hackathon 2018

3ADD workshop/hackathon (23.1.-26.1.2018) is focused on the use of in silico drug design tools and approaches. We will cover both structure-based drug design (molecular docking, structural bioinformatics tools) and ligand-based drug design (QSAR, pharmacophores). Hackathon on the last day is the best opportunity to try your skills either on our challenge or to gather expert opinion on your own drug design problem.

An Introduction to Machine Learning

Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment.

Introduction to Unix shell

This course offers an introduction to working with Linux. We will describe the Linux environment so that participants can start to utilize command-line tools and feel comfortable using a text-based way of interacting with a computer. We will take a problem-solving approach, drawing on types of tasks commonly encountered by Linux users when processing text files.

Linux shell scripting for high-throughput biological data processing on supercomputers

An unprecedented amount of biomedical data have been produced and stored in the last years. Managing such biological big data is often not affordable without high-performance computing architectures, needed to analyze and process large-scale datasets. Running high-throughput (HTP) bioinformatics data pipelines on supercomputing machines requires advanced Linux shell command line and scripting skills. Most scientists working with such data often lack such skills or have acquired them by self-learning without becoming fully independent and fluent.

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