Analysis of single cell RNA-seq data (IN-PERSON)
Date: 16 - 20 May 2024
Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging.
In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: Graduate students, Postdocs and Staff members from the University of Cambridge, Institutions and other external Institutions or individuals
- Workshops and courses
Scientific topics: Bioinformatics, Data mining, Data visualisation, Functional genomics, Transcriptomics