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5 events found

Country: Germany 

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City: Bogota  or Heidelberg  or Fribourg  or Gent  or New Delhi  or Lausanne  or Prague  or Kiel  or Berlin 

  • 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 [] []
  • Ensembl Browser Workshop, DKFZ, 5 May 2020

    5 May 2020

    Heidelberg, Germany

    Elixir node event
    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, Germany

    Elixir node event
    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
  • Phylogenetic reconstruction course 2020

    20 May 2020

    Kiel, Germany

    Phylogenetic reconstruction course 2020 https://tess.elixir-europe.org/events/phylogenetic-reconstruction-course-2020 Educators: Tal Dagan (CAU) Date: 20.05.2019, 08:15 - 16:00 Location: Kiel Contents/Learning goals: The evolutionary history of genes or species is best studied and described by phylogenetic trees. The accumulating sequence data enable the reconstruction of phylogenetic trees for many diverse gene and species. A robust phylogeny is helpful in identifying phyletic groups as well as ancestral relations in the data and lateral gene transfer. Notwithstanding phylogenetic reconstruction is sensitive to various biases in the analysis that originate in alignment and phylogenetic reconstruction artifacts. Students in the workshop will learn to reconstruct multiple sequence alignment and phylogenetic trees of focal sequences. This includes a quantification of possible biases in the phylogenetic reconstruction and ways to counteract their influence on the results. In addition, the students will learn how to identify the root of phylogenetic trees and extract ancestral-descendent relations. The workshop is intended to address scientists from undergraduate to postdoc level and does not expect previous experience in phylogenetics. Basic knowledge on how to work with Linux will be advantageous. Prerequisites: None Keywords: Tree phylogeny, gene homology, rooting, robustness Tools: MAFFT, Guidance, PhyML, IQTree, MAD rooting, FigTree. 2020-05-20 09:00:00 UTC 2020-05-20 17:00:00 UTC de.NBI Kiel, Kiel, Germany Kiel Kiel Germany [] [] [] workshops_and_courses [] []
  • 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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