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DTSTAMP:20260627T061002Z
UID:fb53e2bd-1891-45a7-8430-6cb6e6a1504b
DTSTART:20250217T090000Z
DTEND:20250221T170000Z
DESCRIPTION:This course covers the analysis of single cell RNA sequencing (
 scRNA-seq) data using Python and command line tools. Participants will be 
 guided through droplet-based scRNA-seq analysis pipelines from raw reads t
 o cell clusters. You will explore and interpret single-cell RNA seq data u
 sing Python as well as the [Single Cell Expression Atlas](https://www.ebi.
 ac.uk/gxa/sc/home). Finally\, you will put their knowledge into practice t
 hrough a group challenge on the last day.\n\nPlease note that you will not
  analyse your own data as part of the course. There will\, however\, be am
 ple opportunity to discuss your research and ideas with other course parti
 cipants and 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 activitie
 s and trainer-led computational exercises. Live sessions will be delivered
  using Zoom with additional support and asynchronous communication via Sla
 ck.\n\nPre-recorded material may be provided before the course starts that
  participants will need to watch\, read or work through to gain the most o
 ut of the actual training event. In the week before the course\, there wil
 l be a brief induction session. Computational practicals will run on EMBL-
 EBI's virtual training infrastructure\, meaning you will not require acces
 s to a powerful computer or install complex software on your own machines.
 \n\nParticipants will need to be available between the hours of 09:00 – 
 17:30 BST each day of the course. Trainers will be available to assist\, a
 nswer questions\, and provide further explanations during these times.\n\n
 Please note that we will operate this course virtually. Hybrid options are
  not currently available. We reserve the right to change the format of thi
 s course or cancel it.
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Single-cell RNA-seq analysis with Python
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/single-cell-rna-seq-ana
 lysis-with-python-2025
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