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  • 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 [] []
  • Mass spectrometry data processing

    2 - 3 June 2020

    Gent, Belgium

    Elixir node event
    Mass spectrometry data processing https://tess.elixir-europe.org/events/mass-spectrometry-data-processing-f80a1c34-fcd4-40bf-83df-1ba4b05dd38e Obtain a good understanding of the origins and properties of mass spec data Obtain an understanding of the processing of mass spec data, aimed at identifying and quantifying peptides and proteins Gain sufficient understanding of the software tools and database used, and of the issues and caveats involved, to critically analyse and assess results from mass spectrometry based proteomics experiments 2020-06-02 09:00:00 UTC 2020-06-03 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
  • Using MOFA for integration of omics data

    9 June 2020

    Gent, Belgium

    Elixir node event
    Using MOFA for integration of omics data https://tess.elixir-europe.org/events/using-mofa-for-integration-of-omics-data-f849603e-3ab6-453b-b6d4-6d22f3666d6e Participants can bring their own data to the course. What kind of preprocessing of the data is required for MOFA? How to train MOFA on a multi-omic data set? How to interpret the MOFA factors by their loadings, using gene set enrichment or sample ordination? How to use MOFA for downstream analyses including regression, classification or clustering? How to impute missing values with MOFA? How to select the number of factors and compare different MOFA fits? 2020-06-09 09:00:00 UTC 2020-06-09 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
  • A tour of machine learning: classification

    31 August - 1 September 2020

    Gent, Belgium

    Elixir node event
    A tour of machine learning: classification https://tess.elixir-europe.org/events/a-tour-of-machine-learning-classification-67c1e87f-922a-469a-8aaa-f93f3b51b01b Machine learning has become ubiquitous in biotechnology (as in many other fields), fueled largely by the increasing availability and amount of data. Learning algorithms can figure out how to perform important tasks by generalizing examples. Typical applications are diagnoses/prognoses, gene/protein annotation, drug design, image recognition, text mining and many others. However, building successful machine learning models requires a substantial amount of “black art” that is hard to find in textbooks. This course is an interactive Jupyter Notebook (Python) that will teach you how to build successful machine learning models. No background in machine learning is assumed, just a keen interest. 2020-08-31 09:00:00 UTC 2020-09-01 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
  • Genome Engineering and Synthetic Biology (4th edition)

    10 - 11 September 2020

    Gent, Belgium

    Elixir node event
    Genome Engineering and Synthetic Biology (4th edition) https://tess.elixir-europe.org/events/genome-engineering-and-synthetic-biology-4th-edition Genome Engineering and Synthetic Biology are revolutionizing Life Sciences. Driven by advances in the CRISPR-toolbox for rapid, cheap, multiplex modification of genomes and breakthroughs in DNA synthesis technologies, the pace of progress enabled by these tools in the last years has been breathtaking. The first three editions (September 2013, January 2016, January 2018) were a roaring success and we are pleased to announce the 4th edition of GESB in beautiful Ghent in September, 2020. Travel Grants We offer 5 travel grants to international attendees, which will reimburse travel costs up to 400 Euros. Are you interested in attending GESB20 and want to have a chance on a travel grant? Submit your motivation below by clicking on the 'Apply for a grant' button before 4 June 2020. The organizing committee will notify you of your travel grant acceptance by the end of June. No registration is needed before submitting a travel grant proposal. When you’re awarded with a travel grant you will receive a practical email containing the next steps. Note that being awarded a travel grant does not mean being registered for the conference. Scroll down to apply for your grant. Poster information: Format: A0 (841 x 1189 mm / 33.1 x 46.8 in), portrait orientation Deadlines: • Early Bird: 30 July 2020 • Late Registration: 26 August 2020 • Abstract deadline: 2 July 2020 Speakers: • Edward Lemke - Institute of Molecular Biology (IMB), DE, Johannes Gutenberg University (JGU), DE & EMBL, DE • Sarah Christine Heilshorn - Stanford University, US • Jane Langdale - University of Oxford, UK • George Guo-Qiang Chen - Tsinghua University, CN • Jason Gammack - Inscripta, US • Janice Chen - Mammoth Biosciences, US • Dan Voytas - University of Minnesota, US & Co-Founder & CSO, Calyxt, US • Alexis Komor - University of California, US • Fred Van Ex - Inari Agriculture, BE • Ross Sozzani - NC State Univeristy, US • Bruno Correia - EPFL, CH • Patrick Yizhi Cai - Manchester Institute of Biotechnology, University of Manchester, UK • Tilmann Buerckstuemmer - Aelian Biotechnology, AT • Peter Smibert - New York Genome Center, Techn Innovation lab, US • Tara Deans - University of Utah, US • Jonathan Gootenberg - McGovern Institute, MIT, US • Steve Harvey - CEO Camena Biosciences, UK • Rob Marchmont - VP Sphere Fluidics, UK • Charlie Silver - CEO Mission Bio, US • Bryan Dickinson - The University of Chicago, US • Holger Puchta - Botanical Institute, Karlsruhe Institute of Technology (KIT), DE • Ping-Wei Ho - VIB-KU Leuven Center for Microbiology, BE • And more to come! 2020-09-10 08:00:00 UTC 2020-09-11 18:00:00 UTC VIB De Bijloke, Bijlokekaai 7, 7, Bijlokekaai, Gent, Belgium De Bijloke, Bijlokekaai 7, 7, Bijlokekaai Gent Oost-Vlaanderen Belgium 9000 [] VIB Conferences team - +32(0)92446611 - conferences@vib.be TakaraTwist Bioscience IndustryPhD studentsAcademics 400 meetings_and_conferences [] genome engineeringSynthetic biologycrisprdna synthetistechnologies

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