Courses&Workshops

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    Elixir-IIB/NETTAB Tutorial on Biological Networks: data analysis, visualization and medical application

    Participants in the course will be introduced to protein-protein interactions, biochemical reactions and causal interactions field. During the course the participants will be exposed to the literature curation principles and methods. In addition, there will be a session dedicated to common standards and ontologies adopted to describe data retrieved from the literature in a formalized manner. A large number of molecular interaction resources and methodologies to analyze them will be introduced during hand-on sessions.
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    ELIXIR-EXCELERATE Train the Trainer

    ELIXIR-IIB, in cooperation with the ELIXIR-EXCELERATE Train-The-Trainer programme, will hold a Train the Trainer (TtT) event in connection with a course on "Best Practices for RNA-Seq analysis". The course is meant to offer guidance, ideas and tips for training / teaching design, development and delivery based on research-driven educational principles. Examples and discussions will also focus on the challenges presented by academic teaching.
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    Training Course on Best practices for RNA-Seq data analysis

    The aim of this course is to get a deeper understanding of RNA-Seq experiments, providing a theoretical introduction to the data processing steps, together with practical sessions illustrating the use of the most popular data analysis tools. Some strategies are illustrated for detecting genes, which are differentially expressed across different biological conditions, alternative splicing products, novel isoforms and gene fusion events. Some methods for downstream analysis are described to give insight into how biological knowledge can be generated from RNA-Seq experiments.
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    Training course on Python for Life Scientists

    Python is an object-oriented programming language that is ideal for biological data analysis. The course will start from zero knowledge, and will introduce the participants to all the basic concepts of Python such as calculating, organising data, reading and writing files, program logic and writing larger programs. All the examples and practical sessions will focus on solving biological problems. The course will be highly interactive and the students will continuously put theory into practice while learning.
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    Training course on Machine Learning for Biologists

    The aim of the course is to provide a practical introduction to the analysis of "omics" data. Topics will range from data visualization/exploration to univariate/multivariate analysis and machine learning. Practical examples and applications will be illustrated by using R and Python.
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    Training Course on RNA-Seq data analysis

    The course will provide students with theoretical and practical knowledge on how to perform bioinformatic analyses of RNA-Seq data, mainly aimed at the identification of genes differentially expressed across different conditions.
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    Training Course on Galaxy for Bioinformatics tool developers

    Galaxy is an open source, web-based platform for data intensive biomedical analysis. The aim of this course is to make participants familiarize with the Galaxy platform and prepare them to work independently, using best practices guidelines for building, maintaining and installing Galaxy tools. The course will be delivered using a mixture of lectures and computer based hands-on practical sessions. Lectures will provide an up-to-date overview of the practices for the most successful Galaxy tool development. During this 2 days course participants will learn a modern approach to create, configure and install their own tools into a Galaxy server.
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    Workshop + Summer School in Advanced Computational Metagenomics

    Two connected events on Advanced Computational Metagenomics - a 2-day workshop followed by a three-day intensive practical school - will take place on 19-23 June 2017 in Bari, Italy. Both the workshop and the school will focus on the computational aspects of metagenomics analysis including reference databases, software and data retrieval and submission. The investigation of microbial communities will be discussed with an overview on real projects cases, both in ecological, clinical and nutrition fields. During the practical sessions students will experience how to analyze meta-barcoding and shotgun data from Next Generation Sequencing and to perform statistical inference on them.
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    EMBO Practical Course on "Population Genomics: background and tools"

    The objective of this EMBO Practical Course is to give an overview of state of the art methods in population genomics combining lecturing from outstanding experienced population geneticists and software developers. After attending the course participants will be aware of up-to-date concepts in population genetics, capable of running analyses using software based on whole genome data sequences and able to deal with basic aspects of any population genomics project. This EMBO Practical Course aims at evolutionary biologists who already have bioinformatics skills. PhD students and Post-Doc researchers will benefit the most out of this course, but applications from all candidates will be evaluated in their context.
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    Workshop on "Computational approaches to the study of protein interactions and rational drug design"

    This workshop is aimed at students in master degree courses, PhD students and post-doctoral researchers who are working or planning to work in the field of protein interactions from a molecular and structural point of view. In this workshop, participants will familiarise with docking approaches to the study of protein-protein interactions (PPIs) and protein-small molecule interactions. Irreversible binders design using molecular docking and computational methods to rational drug design will be also described, as well as the functional role of the intrinsically disordered proteins.