Resources for Computational Drug Discovery
7 - 11 November 2016
Hinxton, United KingdomResources for Computational Drug Discovery http://www.ebi.ac.uk/training/events/2016/resources-computational-drug-discovery-0 https://tess.elixir-europe.org/events/resources-for-computational-drug-discovery 2016-11-07 00:00:00 UTC 2016-11-11 00:00:00 UTC EMBL-EBI Wellcome Trust Genome Campus, Hinxton, United Kingdom Wellcome Trust Genome Campus Hinxton United Kingdom Bioinformatics    workshops_and_courses  drugdiscovery
RNA-seq Analysis Workshop
6 - 7 July 2017
Saint Lucia, AustraliaRNA-seq Analysis Workshop https://combine.org.au/2017/06/07/brisbane-rbash-and-rna-seq-workshops/ https://tess.elixir-europe.org/events/rna-seq-analysis-workshop In this workshop, you will learn how to analyse RNA-seq count data, using R. This will include reading the data into R, quality control and performing differential expression analysis and gene set testing, with a focus on the limma-voom analysis workflow. You will learn how to generate common plots for analysis and visualisation of gene expression data, such as boxplots and heatmaps. This workshop is aimed at biologists interested in learning how to perform differential expression analysis of RNA-seq data when reference genomes are available. Some basic R knowledge is assumed. If you are not familiar with the R statistical programming language we strongly encourage you attend our R/Bash workshop or a similar course prior to attending. 2017-07-06 09:00:00 UTC 2017-07-07 17:00:00 UTC COMBINE Australia The University of Queensland, Saint Lucia, Australia The University of Queensland Saint Lucia Australia RNA-Seq University of Queensland   workshops_and_courses  BioinformaticsRNA-Seq
Training Course on Best practices for RNA-Seq data analysis
27 - 29 September 2017
Fisciano, ItalyTraining Course on Best practices for RNA-Seq data analysis https://elixir-iib-training.github.io/website/2017/09/27/RNA-seq-Salerno.html https://tess.elixir-europe.org/events/training-course-on-best-practices-for-rna-seq-data-analysis Next-generation sequencing (NGS) of RNA libraries (RNA-Seq) has become increasingly common and it largely replaced microarray technology for gene expression profiling. 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. The classroom size is limited to 25 participants to optimize the learning and the interaction with the instructors. Starting from the raw sequenced data coming from different phenotypical samples (e.g disease vs healthy control samples), genes which are differentially expressed between the two conditions are determine. Some strategies are illustrated for detecting alternative splicing products, predicting 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. A lecture on single-cell RNA-Seq will provide an idea of how transcriptome data from individual cells is now emerging as a powerful tool, allowing the study of cell-to-cell gene expression heterogeneity in the same tissue. 2017-09-27 09:15:00 UTC 2017-09-29 16:30:00 UTC Anna Marabotti (University of Salerno and ELIXIR-IIB Training Team, Italy), Roberto Tagliaferri (University of Salerno, Italy), Alessandro Weisz (University of Salerno, Italy), Loredana Le Pera (ELIXIR-IIB Training Team and IIT, Italy), Allegra Via (ELIXIR-IIB Training Coordinator, CNR-IBPM, Italy) Campus di Fisciano, Università degli Studi di Salerno, Via Giovanni Paolo II, n. 132, Fisciano, Italy Campus di Fisciano, Università degli Studi di Salerno, Via Giovanni Paolo II, n. 132 Fisciano Provincia di Salerno Italy 84084 Transcriptomics RNA splicing Sequencing Bioinformatics RNA-Seq Gene expression Campus di Fisciano, University of Salerno, Italy firstname.lastname@example.org, email@example.com ELIXIR Italy PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data 25 workshops_and_courses first_come_first_servedregistration_of_interest NGSRNA-SeqBioinformaticsData analysisHigh Throughput Sequencing AnalysisGene Expression
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