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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
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DTSTAMP:20260407T181530Z
UID:5f2cad5f-419f-4a1d-a419-43a8ad691021
DTSTART:20260416T083000Z
DTEND:20260420T163000Z
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=5855672&amp\;course-title=Single%20cell%20RNA-seq%20analysis%20in-p
 erson).\nIf for any reason the above links do not work\, please email [Res
 earch Informatics Training Team](https://training.cam.ac.uk/bioinformatics
 /info/contact) with details of your course enquiry.\n\nAdditional informat
 ion\n\n* ♿ The training room is located on the first floor and there is 
 currently no wheelchair or level access.\n* Our courses are only free for 
 registered University of Cambridge students. All other participants will b
 e charged according to our  [charging policy](http://www.training.cam.ac.u
 k/bioinformatics/info/charging).\n* Attendance will be taken on all course
 s and a charge is applied for non-attendance. After you have booked a plac
 e\, if you are unable to attend any of the live sessions\, please email th
 e [Research Informatics Training Team](https://training.cam.ac.uk/bioinfor
 matics/info/contact).\n* Further details regarding eligibility criteria ar
 e available [here](http://www.training.cam.ac.uk/bioinformatics/info/eligi
 bility).\n* Guidance on visiting Cambridge and finding accommodation is av
 ailable [here](https://bioinfotraining.bio.cam.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Single-cell RNA-seq analysis (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5855672
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