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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260925T082342Z
UID:850fb4dc-811b-4991-a71b-a821327fea2c
DTSTART:20270512T090000Z
DTEND:20270512T120000Z
DESCRIPTION:This workshop is a follow-up session from the online Innovati
 ons Scholar Workshop. The online workshop *must* be completed before comin
 g to this in-person workshop.  \n\nSingle-cell transcriptomics is a powerf
 ul tool to study the heterogeneity of the cellular transcriptome at single
 -cell levels. This course aims to equip participants with essential skills
  to process RNA-sequencing reads from single-cell transcriptomics experime
 nt and to perform downstream analyses of the single-cell gene expression d
 ata. This course is designed for participants with some experience in R pr
 ogramming and running command-line programs. We will be using published si
 ngle-cell RNA-sequencing datasets to perform quality control\, data normal
 isation\, cell clustering\, differential expression and trajectory analyse
 s. \n\nWe will use the objects produced from the online workshop and other
  single-cell datasets to expand on the important aspects of single-c
 ell analysis\, discuss decision-making steps along the analysis pipe
 line\, visualise the data differently\, and perform additional analysis.
  Due to time constraints\, we are limited to tools that are implemented in
  R and that run reasonably fast. But where relevant\, case studies could b
 e shown and discussed. By the end of the workshop\, delegates will be able
  to independently conduct and critically analyse data from scRNA-seq exper
 iments \n\nPlease complete the following requirements before attending
  the in-person follow-up: \n\nA certificate from the online workshop \nRSt
 udio and the installation of all the libraries used in the online workshop
  \nThe RDS obtained from the online workshop\nIf you are having any issues
 \, please contact Michelle Simon (michelle.1.simon@kcl.ac.uk) directly
 . If the event is full or closed for registration\, and you would like to 
 register last-minute or be added to a waitlist\, please e-mail hab@kcl.ac.
 uk \n\nWe are looking forward to seeing you there! \n\nPrice: £50
LOCATION:room G60\, Hodgkin Building\,  Newcomen Street
SUMMARY:Single Cell Data Analysis
URL;VALUE=URI:https://estore.kcl.ac.uk/conferences-and-events/academic-facu
 lties/faculty-of-life-sciences-medicine/school-of-basic-and-medical-biosci
 ences/centre-for-gene-therapy-regenerative-medicine/single-cell-data-analy
 sis-2027
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