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DTSTAMP:20260623T094203Z
UID:0c691c1e-c1ec-42c1-8cdb-bd0eb28eb46a
DTSTART:20220307T090000Z
DTEND:20220311T170000Z
DESCRIPTION:This course utilises [Galaxy pipelines](https://galaxyproject.o
 rg/)\, an online open-access resource that allows even the most computer-p
 hobic bench scientists to analyse their biological data. Participants will
  be guided through the droplet-based scRNA-seq analysis pipelines from raw
  reads to trajectories\, for mammalian and plant genomes.\n\nPlease note t
 hat although participants will not be able to use their own data during th
 e course practicals\, there will be ample time to discuss their research a
 nd ideas with both course participants and trainers.  As part of this\, p
 articipants will present lightning talks on their research topics. Near th
 e end of the course\, participants will engage in small group discussions 
 about their research challenges and problems with each other and the train
 ers at the ‘Talk with trainers’.\n\n**Virtual course**\n\nParticipants
  will learn via a mix of pre-recorded lectures\, live presentations\, and 
 trainer Q&amp\;A sessions. Practical experience will be developed through 
 group activities and trainer-led computational exercises. Live sessions wi
 ll be delivered using [Zoom](https://zoom.us/) with additional support and
  communication via [Slack](https://slack.com/intl/en-gb/). \n\nPre-record
 ed material will be made available to registered participants prior to the
  start of the course and in the week before the course there will be a bri
 ef induction session. Computational practicals will run on EMBL-EBI’s vi
 rtual training infrastructure\, meaning participants will not require acce
 ss to a powerful computer or install complex software on their own machine
 s.\n\nParticipants will need to be available between the hours of 09:00 - 
 17:00 GMT each day of the course. Trainers will be available to assist\, a
 nswer questions\, and further explain the analysis during these times.
SUMMARY:Single-cell RNA-seq analysis using Galaxy
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/single-cell-rna-seq-ana
 lysis-using-galaxy-2022
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