Ensembl Browser Workshop, DKFZ, 5 May 2020
5 May 2020
Heidelberg, GermanyEnsembl Browser Workshop, DKFZ, 5 May 2020 http://www.ebi.ac.uk/training/events/2020/ensembl-browser-workshop-dkfz-5-may-2020 https://tess.elixir-europe.org/events/ensembl-browser-workshop-dkfz-5-may-2020 Work with the Ensembl Outreach team to get to grips with the Ensembl browser, accessing gene, variation, comparative genomics and regulation data, and mine these data with BioMart. 2020-05-05 09:00:00 UTC 2020-05-05 09:00:00 UTC Deutsches Krebsforschungszentrum (DKFZ) - German Cancer Research Centre (GCRC), Heidelberg, Germany Deutsches Krebsforschungszentrum (DKFZ) - German Cancer Research Centre (GCRC) Heidelberg Germany 69120  Astrid Gall     HDRUK
Ensembl REST API Workshop, DKFZ, 6 May 2020
6 May 2020
Heidelberg, GermanyEnsembl REST API Workshop, DKFZ, 6 May 2020 http://www.ebi.ac.uk/training/events/2020/ensembl-rest-api-workshop-dkfz-6-may-2020 https://tess.elixir-europe.org/events/ensembl-rest-api-workshop-dkfz-6-may-2020 Work with Ensembl to master the Ensembl REST API and flexibly access genome-wide data, such as genes, variants, regulatory features, homologues and alignments. 2020-05-06 09:00:00 UTC 2020-05-06 09:00:00 UTC Deutsches Krebsforschungszentrum (DKFZ) - German Cancer Research Centre (GCRC), Heidelberg, Germany Deutsches Krebsforschungszentrum (DKFZ) - German Cancer Research Centre (GCRC) Heidelberg Germany 69120  Astrid Gall     HDRUK
Computational genomics course for hands-on data analysis 2020
15 - 17 June 2020
Berlin, GermanyComputational genomics course for hands-on data analysis 2020 https://www.denbi.de/training/806-computational-genomics-course-for-hands-on-data-analysis-2020 https://tess.elixir-europe.org/events/computational-genomics-course-for-hands-on-data-analysis-2020 Educators: Altuna Alkalin, Verdan Franke, Bora Uyar (RBC/deNBI-epi Scientists from Berlin) Date: 15-17 June 2020 Location: BIMSB, Max-Delbrück Center for Molecular Medicine, Berlin. Mitte Campus. Contents: The general aim of the course is to equip participants with practical and technical knowledge to analyze single cell RNA-seq data. With this aim in mind, we will go through unsupervised machine learning methods to analyze high-dimensional data sets, and move on to statistical methods developed to analyze bulk RNA-seq. Lastly, we will introduce analysis techniques used for single cell RNA-seq. There will be theoretical lectures followed by practical sessions where students directly apply what they have learned. The programming will be mainly done in R. Day 1: Intro to machine learning & data visualization for genomics Day 2: Bulk RNA-seq analysis Day 3: Single cell RNA-seq analysis Learning goals: The course will be beneficial for first year computational biology PhD students, and experimental biologists and medical scientists who want to begin data analysis or are seeking a better understanding of computational genomics and analysis of popular sequencing methods.r Prerequisites: Some statistics and R programming experience will be good to keep up with the course. Practicals will be done in R. Keywords: Computational genomics, RNA-seq, Machine learing, Tools: R/Bioconductor Application Deadline: 15th of April 2020-06-15 09:00:00 UTC 2020-06-17 17:00:00 UTC de.NBI Berlin, Berlin, Germany Berlin Berlin Germany    workshops_and_courses  
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