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  • ELIXIR CZ Artificial Intelligence in Life Sciences I

    26 - 27 October 2020

    Prague, Czechia

    Elixir node event
    ELIXIR CZ Artificial Intelligence in Life Sciences I https://tess.elixir-europe.org/events/elixir-cz-artificial-intelligence-in-life-sciences-i This workshop will provide a basic introduction to machine learning and its application in Life Sciences, with a special focus on molecular and cell biology. Data-driven approaches penetrate various scientific disciplines, including the fields of biology, biochemistry and biotechnology. Novel technologies of high-throughput data collection and advanced data analysis, such as deep neural networks, offer exceptional opportunities for the development of very complex and accurate mathematical models. The theoretical lectures will cover main methods, algorithms and technologies, illustrate their use in biology and biochemistry research using real-life examples. Hands-on practicals will provide participants with essential skills for the application of machine learning methods and software tools for solving problems in Life Sciences. We plan to continue in our effort to organize follow-ups of this meeting and focus on challenging issues in life science disciplines approachable by AI technology. 2020-10-26 11:00:00 UTC 2020-10-27 14:00:00 UTC ELIXIR CZ, IOCB, FNUSA – ICRC, University of West Bohemia Flemingovo nám. 542, 542, Flemingovo náměstí, Prague, Czechia Flemingovo nám. 542, 542, Flemingovo náměstí Prague Hlavní město Praha Czechia 166 10 [] https://www.elixir-czech.cz/events/elixir-cz-artificial-intelligence-in-life-sciences-oct-2020 [] [] 75 workshops_and_courses first_come_first_served Artificial Intelligencemachine learningDrug design
  • DNA Methylation Data Analysis Workshop

    2 - 5 November 2020

    Berlin, Germany

    DNA Methylation Data Analysis Workshop https://tess.elixir-europe.org/events/dna-methylation-data-analysis-workshop Advance your epigenetics research with NGS methods. In a nutshell - Learn how bisulfite sequencing works - Understand how bisulfite-treated reads are mapped to a reference genome - Perform basic analyses (call methylated regions, perform basic downstream analyses) - Use shell scripting to create reusable data pipelines - Visualize results (ready-to-publish) The purpose of this workshop is to get a deeper understanding of the use of bisulfite-treated DNA in order to analyze the epigenetic layer of DNA methylation. Advantages and disadvantages of the so-called 'bisulfite sequencing' and its implications on data analyses will be covered. The participants will be trained to understand bisulfite-treated NGS data, to detect potential problems/errors and finally to implement their own pipelines. After this course they will be able to analyze DNA methylation and create ready-to-publish graphics. By the end of this workshop the participants will: - be familiar with the sequencing method of Illumina - understand how bisulfite sequencing works - be aware of the mapping problem of bisulfite-treated data - understand how bisulfite-treated reads are mapped to a reference genome - be familiar with common data formats and standards - know relevant tools for data processing - automate tasks with shell scripting to create reusable data pipelines - perform basic analyses (call methylated regions, perform basic downstream analyses) - plot and visualize results (ready-to-publish) - be able to reuse all analyses 2020-11-02 09:00:00 UTC 2020-11-05 17:00:00 UTC ecSeq Bioinformatics GmbH PC-COLLEGE Berlin, 78, Stresemannstraße, Berlin, Germany PC-COLLEGE Berlin, 78, Stresemannstraße Berlin Germany 10963 Sequencing Sequence analysis Bioinformatics [] ecSeq Bioinformatics GmbH Sternwartenstr. 29 D-04103 Leipzig Germany Email: events@ecSeq.com [] BiologistsBiologists, Genomicists, Computer ScientistsMolecular BiologistsPhD studentspost-docsPathologistsbioinformaticians 25 workshops_and_courses first_come_first_served EpigeneticsDNA MethylationBisulfite-Seq
  • Emerging Technologies in Single Cell research

    19 - 20 November 2020

    Leuven, Belgium

    Emerging Technologies in Single Cell research https://tess.elixir-europe.org/events/emerging-technologies-in-single-cell-research Biomedical research is at a turning point. Single cell technologies are opening extraordinary opportunities to address today’s medical challenges. These new tools will enhance our molecular understanding of functional cell states. They will give us major insights into when, how and why diseases of all kinds arise. Working at the cutting edge of this field, VIB has teamed up with LifeTime, a pan-European research initiative that wants to combine single-cell multi-omics, advanced imaging, artificial intelligence/machine learning and personalized disease models to fundamentally change the current medical practice. At the first edition of Emerging Technologies in Single Cell research, a two-day conference, VIB and LifeTime will bring together top researchers in the fields of multi-omics and artificial intelligence. Travel Grants We offer 5 travel grants to international attendees, which will reimburse travel costs up to 400 Euros. Are you interested in attending SingleCell20 and want to have a chance on a travel grant? Submit your motivation below by clicking on the 'Apply for a grant' button before 27 September 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. 2020-11-19 08:00:00 UTC 2020-11-20 18:00:00 UTC VIB KU Leuven Universiteitshal, 22, Naamsestraat, Leuven, Belgium KU Leuven Universiteitshal, 22, Naamsestraat Leuven Vlaams-Brabant Belgium VIBLifeTime VIB Conferences team - +32 9 244 66 11 - Conferences@vib.be [] AcademicsPhD studentsIndustry 300 meetings_and_conferences [] Single cell sequencing Single Cell GenomicsSingle Cell technologiessingle cell rna-seq

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