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DTSTAMP:20260715T183334Z
UID:9ce259d8-04a0-4c21-abc9-ee20e1f88678
DTSTART:20251128T093000Z
DTEND:20251204T173000Z
DESCRIPTION:Recent technological advances have made it possible to obtain g
 enome-wide transcriptome data from single cells using high-throughput sequ
 encing. This course offers an introduction to single-cell RNA sequencing (
 scRNA-seq) analysis. Participants will gain hands-on experience with key s
 oftware packages and methodologies for processing\, analyzing\, and interp
 reting scRNA-seq data. Key topics include data preprocessing\, quality con
 trol\, normalization\, dimensionality reduction\, batch correction and dat
 a integration\, cell clustering and differential expression and abundance 
 analysis. By the end of the course\, students will be equipped with the sk
 ills to independently conduct and critically analyse data from scRNA-seq e
 xperiments.\n\n\nIf you do not have a University of Cambridge [Raven accou
 nt](https://legacy.raven.cam.ac.uk/auth/account/) please book or register 
 your interest [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?ev
 ent-id=5898977&amp\;course-title=Single%20cell%20RNA-seq%20analysis%20onli
 ne).\nIf for any reason the above links do not work\, please email [Resear
 ch Informatics Training Team](https://training.cam.ac.uk/bioinformatics/in
 fo/contact) with details of your course enquiry.\n\nAdditional information
 \n\n* Our courses are only free for registered University of Cambridge stu
 dents. All other participants will be charged according to our  [charging 
 policy](http://www.training.cam.ac.uk/bioinformatics/info/charging).\n* At
 tendance will be taken on all courses and a charge is applied for non-atte
 ndance. After you have booked a place\, if you are unable to attend any of
  the live sessions\, please email the [Bioinfo Team](https://training.cam.
 ac.uk/bioinformatics/info/contact).\n* Further details regarding eligibili
 ty criteria are available [here](http://www.training.cam.ac.uk/bioinformat
 ics/info/eligibility).
LOCATION:Craik-Marshall Building
SUMMARY:Single-cell RNA-seq analysis (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5898977
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