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3 events found

City: Bogota  or Gent  or Leysin  or Belval 

  • Analysis of single cell RNA-Seq data from 10x Genomics

    29 - 30 August 2019

    Gent, Belgium

    Elixir node event
    Analysis of single cell RNA-Seq data from 10x Genomics https://tess.elixir-europe.org/events/analysis-of-single-cell-rna-seq-data-from-10x-genomics-5360606b-8116-48e6-929f-5e3b1bd1de5b In this course we will discuss some of the advantages and pitfalls of scRNA-Seq and go through the whole scRNA-seq analysis pipeline. We will teach you how to do proper quality control and filtering on gene level and cell level, how to do create tSNE plots, how to get potential markers for a subset of cells ...  2019-08-29 09:00:00 UTC 2019-08-30 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
  • FLAMES Summer School

    9 - 20 September 2019

    Gent, Belgium

    FLAMES Summer School https://tess.elixir-europe.org/events/flames-summer-school FLAMES (Flanders Training Network for Methodology and Statistics) organizes a two-week Summer School aiming at providing practical methodological and statistical training to young researchers (particularly PhD students) from all disciplines. After the success of the FLAMES Summer School in 2013 (at KULeuven), 2014 (at UGent), 2015 (at VUB), 2016 (at UHasselt) , 2017 (at UAntwerp) and 2018 (at KULeuven) we are going to offer and even broader variety of courses from top lecturers around the world. Whether you are a complete dummy, a starter with a limited knowledge, or a more experienced researcher with a broad basic knowledge in the world of methodology and statistics, the FLAMES summer school offers courses at your level, which emphasizes everyday research practice. The program consists of 23 courses (called modules) from which participants can choose. Each module seamlessly connects theory with hands-on exercises or lab sessions, focusing on various disciplines and software packages whenever possible. The basic courses are combined in 2 recommended tracks, that directly connect to the prior knowledge of the participant. This year the FLAMES Summer School will take place at Gent University, De Sterre. 2019-09-09 09:00:00 UTC 2019-09-20 17:00:00 UTC Krijgslaan 281, Gent, Belgium Krijgslaan 281 Gent Oost-Vlaanderen Belgium Ghent University summerschool@flames-statistics.com [] [] workshops_and_courses registration_of_interest []
  • Joint SIB / NBIS Autumn School Single Cell Analysis

    13 - 19 October 2019

    Leysin

    Elixir node event
    Joint SIB / NBIS Autumn School Single Cell Analysis https://tess.elixir-europe.org/events/nbis-sib-collaborative-course-single-cell-transcriptomics #training #url: https://www.sib.swiss/training/course/2019-10_single-cell contact: education@nbis.se This course is organised by NBIS/SciLifeLab and the SIB PhD Training Network. Priority is given to their members, but is open to everyone. Overview Single-cell analysis of the various -omics makes possible to discover mechanisms, strains, expressions that would not be noticed when studying bulk cell populations. New developments lead more and more research groups to use this technology and this Autumn School will provide an overview of the various methods and fields of application through lectures and hands-on exercises. Generally, the afternoons will be dedicated to practical exercises where you will be able to apply the theoretical concepts learned during the morning session. Sometimes there will be a mix of both. One afternoon will be devoted to a social activity. See the preliminary program below for more details... Audience This course is addressed to PhD students, postdocs and scientists starting to work with single cell technologies and analysis. Learning objectives The first objective of this school is to provide participants with a broad knowledge of single cell analysis that would enable them to understand its application in general. This would be achieved via the multiple lectures provided by our lecturers throughout the week. The second objective is to enable participants to apply single cell analysis in their own research. This would be achieved by all the exercises that would follow the theoretical lectures. The third objective is networking with the lecturers and also the other participants that will most likely share similar interests. Prerequisites Knowledge / competencies Students should have intermediate to advanced R skills (able to read, understand and write R scripts), know how to use common R/Bioconductor packages, be familiar with the typical steps involved in a bulk RNA-seq (both experimental and data analysis parts). Technical Students should be able to bring their own laptop with R and RStudio installed. A list of required R-packages will be sent before the course and these should be installed prior to the course start. Program Sunday ≈17-18h: arrival of the participants, check-in Welcome and dinner Monday: Transcriptomics Introductory lecture: Vincent Gardeux, Laboratory of Systems and Genetics, EPFL / SIB, Lausanne, Switzerland. Quantification, QC & Normalization: Davide Risso, Department of Statistical Sciences, University of Padova, Italy. Dimensionality reduction: Paulo Czarnewski, NBIS, Uppsala University, SciLifeLab, Uppsala, Sweden. Tuesday: Transcriptomics Batch correction: Panagiotis Papasaikas, Computational Biology Group, Friedrich Miescher Institute for Biomedical Research / SIB, Basel. Switzerland. Clustering - methods overview: Charlotte Soneson, Computational Biology Group, Friedrich Miescher Institute for Biomedical Research / SIB, Basel, Switzerland. Cell fate mapping and trajectories: Robrecht Cannoodt, VIB-UGent Center for Inflammation Research, Gent, Belgium. Wednesday: Transcriptomics Differential expression: Charlotte Soneson, Computational Biology, Friedrich Miescher Institute for Biomedical Research / SIB, Basel, Switzerland. Afternoon: Team activity Evening: Keynote lecture: Alejandro Sifrim, Laboratory of Reproductive Genomics, KU Leuwen, Belgium. Thursday: Proteomics Transcriptome + proteome: Johan Reimegård, Uppsala University, SciLifeLab, Uppsala, Sweden. Differential abundance and differential state analysis of single cell cytometry data: Mark Robinson & Helena Crowell, Statistical Genomics, University of Zurich / SIB, Zurich, Switzerland. Friday: Other omics and integration Spatial mapping of scRNAseq: Lars Borm, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. Lineage tracing and scRNA: Maria Florescu, Hubrecht Institute, Developmental Biology and Stem Cell Research, Utrecht, Netherlands. Data integration methods: Sebastien Smallwood, Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland. End of the event around 14h30. Application Before applying, be sure your profile matches the prerequisites and do not forget to take this survey. If you do not take the survey, your application will not be taken into consideration. Please use the same email address for the application and the survey. Registration fees are the following: 250 Swiss Francs for members of the SIB PhD Training Network and for PhD students enrolled at a Swedish University, 600 Swiss Francs for other academics, 1200 Swiss Francs for for-profit institutions. This includes full course fees, full board accommodation at the hotel and coffee breaks. Deadline for application and free-of-charge cancellation is set is set to 16 September 2019. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions. You will be informed by email of your registration confirmation. Click to apply Venue and Time Location: Hotel Central Residence & Spa, Leysin, Switzerland. Arrival: Sunday before 18h Departure: Friday around 14h30 Additional information Coordination: Björn Nystedt (NBIS/SciLifeLab), Grégoire Rossier (SIB). Scientific Committe: Åsa Björklund (NBIS/SciLifeLab), Michael Stadler & Charlotte Soneson (SIB and FMI Basel), Vincent Gardeux (EPFL). For more information, please contact Grégoire Rossier. 2019-10-13 09:00:00 UTC 2019-10-19 00:00:00 UTC Leysin Leysin [] jessica.lindvall@scilifelab.se [] [] [] [] []
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