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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260614T212457Z
UID:b2affd25-165f-4c2d-8123-e107c16d9afa
DTSTART:20250408T080000Z
DTEND:20250410T160000Z
DESCRIPTION:This 3-day course teaches participants to **process and interpr
 et single-cell transcriptomic data** using **R-based tools** and common an
 alysis strategies.\n\n\nThe course provides a full walkthrough of the anal
 ysis from read counts to differentially expressed genes and pathway analys
 is for biological interpretation. \n\n*The sessions include the following\
 ;\n· Quality Control and data pre-processing\n· Data integration\n· Clu
 ster analysis\n· Cell annotation\n· Differential expression analysis\n·
  Functional and pathway enrichment analysis*\n\n\nThe course is held onlin
 e and is designed to be undertaken at the delegates own pace\, with 1-1 su
 pport from our team of experts available throughout. \nOur team will also 
 be available to assist with your learning up to two months post-course\, a
 nd all delegates will be invited to join a peer-to-peer support community 
 to enhance their research/analytical work\n\n\nThe course is designed for 
 delegates with basic **experience in R**. If you do not have prior knowled
 ge of R\, we advise that you first take our [R for beginners course](https
 ://www.liverpool.ac.uk/computational-biology-facility/events/r-beginners/)
 \n\n\nThe next iteration of the course will be held on **8th-10th April.**
 \n\n\n**Sign up using the [link provided](https://forms.office.com/pages/r
 esponsepage.aspx?id=MVElUymxEECG4UdL_X6AdslJ1IZWYjJMmFYmG-ihA1VURElIMTBIQU
 9VTDRNNFpLT0VDWU0wSE5JUS4u&amp\;route=shorturl)**\n\n\nThe course has a co
 st of **£300 for academic delegates\, £500 for delegates from public ins
 titutions (not academic)**. Industry delegates may submit an application a
 nd will be quoted in individual basis.\n\nIf you are a delegate from the U
 niversity of Liverpool you can access student bursaries. You will need to 
 submit an application to the bursary together with your registration. Link
  to the bursary application can be accessed in the registration form.\n\n\
 n**Applications close 25th March**\, and spaces are limited.
LOCATION:L69 7ZX
SUMMARY:Single-cell RNASeq Analysis Course (ONLINE)
URL;VALUE=URI:https://www.liverpool.ac.uk/computational-biology-facility/ev
 ents/single-cell-rna-seq/
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