Beacon - 2018 AHM Workshop
7 June 2018
Berlin, GermanyBeacon - 2018 AHM Workshop https://elixir.mf.uni-lj.si/course/view.php?id=35 https://tess.elixir-europe.org/events/beacon-2018-ahm-workshop ELIXIR workshop "Beacon", Jun 7 2018 at the ELIXIR AHM 2018, Berlin, Germany 2018-06-07 09:00:00 UTC 2018-06-07 13:00:00 UTC ELIXIR Germany and Beacon community Hotel Berlin Berlin, 17, Lützowplatz, Berlin, Germany Hotel Berlin Berlin, 17, Lützowplatz Berlin Berlin Germany Genomics Hotel Berlin Berlin  life scientistsResearchers 30 workshops_and_courses registration_of_interest genomicsdata managementeLearningEeLP
KNIME Workshop at Spring Summit
3 April 2020
Berlin, GermanyKNIME Workshop at Spring Summit https://www.denbi.de/training/753-knime-workshop-at-spring-summit https://tess.elixir-europe.org/events/knime-workshop-at-spring-summit TBA 2020-04-03 09:00:00 UTC 2020-04-03 17:00:00 UTC de.NBI Berlin, Berlin, Germany Berlin Berlin Germany    meetings_and_conferences  
Computational genomics course for hands-on data analysis 2020
23 - 25 September 2020Computational 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: 23-25 September 2020 Location: Online 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 2020-09-23 09:00:00 UTC 2020-09-25 17:00:00 UTC de.NBI Berlin, Berlin, Germany Berlin Berlin Germany    workshops_and_courses  
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