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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260407T193908Z
UID:eac0eb7a-da4b-40e6-beaf-3849f81fcc67
DTSTART:20221003T090000Z
DTEND:20221007T170000Z
DESCRIPTION:This course covers the analysis of scRNA-seq data using R and c
 ommand line tools. Participants will be guided through droplet-based scRN
 A-seq analysis pipelines from raw reads to cell clusters. They will explor
 e and interpret data using R as well as the [Single Cell Expression Atlas]
 (https://www.ebi.ac.uk/gxa/sc/home). Finally\, participants will put their
  knowledge into practice through a group challenge on the last two days of
  the course.\n\nPlease note that participants will not analyse their own 
 data as part of the course. There will\, however\, be ample opportunity to
  discuss their research and ideas with other course participants and train
 ers.\n\n**Virtual course**\n\nParticipants will learn via a mix of pre-rec
 orded lectures\, live presentations\, and trainer Q&amp\;A sessions. Pract
 ical experience will be developed through group activities and trainer-led
  computational exercises. Live sessions will be delivered using Zoom with 
 additional support and asynchronous communication via Slack.\n\nPre-record
 ed material may be provided before the course starts that participants wil
 l need to watch\, read or work through to gain the most out of the actual 
 training event. In the week before the course\, there will be a brief indu
 ction session. Computational practicals will run on EMBL-EBI's virtual tra
 ining infrastructure\, meaning participants will not require access to a p
 owerful computer or install complex software on their own machines.\n\nPar
 ticipants will need to be available between the hours of 09:00 – 17:30 B
 ST each day of the course. Trainers will be available to assist\, answer q
 uestions\, and provide further explanations during these times.\n\n 
SUMMARY:Single-cell RNA-seq analysis using R
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/single-cell-rna-seq-ana
 lysis-using-r-2022
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