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  • KNIME Workshop at Spring Summit

    3 April 2020

    Berlin, Germany

    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 [] []
  • Single-Cell RNAseq Training Course 2020 - POSTPONED

    20 - 25 April 2020

    Norwich, United Kingdom

    Single-Cell RNAseq Training Course 2020 - POSTPONED https://tess.elixir-europe.org/events/single-cell-rnaseq-training-course-2020-1444ff72-59f8-4c26-bc86-813bc4ee8efd The course will provide an introduction to Single-Cell Genomics for bench-based researchers with no required prior experience of computational data analysis. It covers several aspects such as the experimental design, cell sorting and processing for production of high-quality samples for sequencing, generation of sequencing data, assessing the quality of sequence data, data visualisation, differential expression analyses and identifying Copy Number Variations at the single-cell level. Options when applying are: Single-Cell RNAseq Course (Mon-Fri: lab and bioinformatics @800) Single-Cell RNAseq Bioinformatics only (Weds-Fri @£300) 2020-04-20 09:00:00 UTC 2020-04-25 00:00:00 UTC Earlham Institute Earlham Institute (EI), Colney Lane, Norwich, United Kingdom Earlham Institute (EI), Colney Lane Norwich Norfolk United Kingdom NR4 7UZ [] training @ earlham . ac . uk [] PhD studentspost-docsBench biologists workshops_and_courses registration_of_interest []
  • Computational genomics course for hands-on data analysis 2020

    15 - 17 June 2020

    Berlin, Germany

    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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