BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260621T022304Z UID:fadfc475-782c-47a4-8bae-a475f8dd4a39 DTSTART:20191013T090000Z DTEND:20191019T000000Z DESCRIPTION:#training #url: https://www.sib.swiss/training/course/2019-10_s ingle-cell contact: education@nbis.se This course is organised by NBIS/Sci LifeLab and the SIB PhD Training Network. Priority is given to their membe rs\, 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 development s lead more and more research groups to use this technology and this Autum n School will provide an overview of the various methods and fields of app lication through lectures and hands-on exercises. Generally\, the afternoo ns will be dedicated to practical exercises where you will be able to appl y the theoretical concepts learned during the morning session. Sometimes t here will be a mix of both. One afternoon will be devoted to a social acti vity. 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 f irst objective of this school is to provide participants with a broad know ledge of single cell analysis that would enable them to understand its app lication in general. This would be achieved via the multiple lectures prov ided by our lecturers throughout the week. The second objective is to enab le participants to apply single cell analysis in their own research. This would be achieved by all the exercises that would follow the theoretical l ectures. The third objective is networking with the lecturers and also the other participants that will most likely share similar interests. Prerequ isites Knowledge / competencies Students should have intermediate to advan ced R skills (able to read\, understand and write R scripts)\, know how to use common R/Bioconductor packages\, be familiar with the typical steps i nvolved in a bulk RNA-seq (both experimental and data analysis parts). Tec hnical Students should be able to bring their own laptop with R and RStudi o 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 Monda y: Transcriptomics Introductory lecture: Vincent Gardeux\, Laboratory of S ystems and Genetics\, EPFL / SIB\, Lausanne\, Switzerland. Quantification\ , QC &\; Normalization: Davide Risso\, Department of Statistical Scienc es\, University of Padova\, Italy. Dimensionality reduction: Paulo Czarnew ski\, NBIS\, Uppsala University\, SciLifeLab\, Uppsala\, Sweden. Tuesday: Transcriptomics Batch correction: Panagiotis Papasaikas\, Computational Bi ology Group\, Friedrich Miescher Institute for Biomedical Research / SIB\, Basel. Switzerland. Clustering - methods overview: Charlotte Soneson\, Co mputational Biology Group\, Friedrich Miescher Institute for Biomedical Re search / SIB\, Basel\, Switzerland. Cell fate mapping and trajectories: Ro brecht Cannoodt\, VIB-UGent Center for Inflammation Research\, Gent\, Belg ium. Wednesday: Transcriptomics Differential expression: Charlotte Soneson \, Computational Biology\, Friedrich Miescher Institute for Biomedical Res earch / SIB\, Basel\, Switzerland. Afternoon: Team activity Evening: Keyno te lecture: Alejandro Sifrim\, Laboratory of Reproductive Genomics\, KU Le uwen\, Belgium. Thursday: Proteomics Transcriptome + proteome: Johan Reime gård\, Uppsala University\, SciLifeLab\, Uppsala\, Sweden. Differential a bundance and differential state analysis of single cell cytometry data: Ma rk Robinson &\; Helena Crowell\, Statistical Genomics\, University of Z urich / SIB\, Zurich\, Switzerland. Friday: Other omics and integration Sp atial mapping of scRNAseq: Lars Borm\, Department of Medical Biochemistry and Biophysics\, Karolinska Institutet\, Stockholm\, Sweden. Lineage traci ng 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 forge t to take this survey. If you do not take the survey\, your application wi ll not be taken into consideration. Please use the same email address for the application and the survey. Registration fees are the following: 250 S wiss Francs for members of the SIB PhD Training Network and for PhD studen ts enrolled at a Swedish University\, 600 Swiss Francs for other academics \, 1200 Swiss Francs for for-profit institutions. This includes full cours e fees\, full board accommodation at the hotel and coffee breaks. Deadline for application and free-of-charge cancellation is set is set to 16 Septe mber 2019. Cancellation after this date will not be reimbursed. Please not e 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)\, Gr égoire Rossier (SIB). Scientific Committe: Åsa Björklund (NBIS/SciLifeL ab)\, Michael Stadler &\; Charlotte Soneson (SIB and FMI Basel)\, Vince nt Gardeux (EPFL). For more information\, please contact Grégoire Rossier . SUMMARY:Joint SIB / NBIS Autumn School Single Cell Analysis URL;VALUE=URI:https://www.google.com/calendar/event?eid=MTcwc2k1NjByczFxbDB rdmkxM3VnZzN2NmsgYmlscy5lbGl4aXJAbQ END:VEVENT END:VCALENDAR