Regulation of transcript isoforms
Lead Research Organisation:
UNIVERSITY OF CAMBRIDGE
Department Name: Genetics
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
People |
ORCID iD |
| Anne Ferguson-Smith (Primary Supervisor) | |
| Jennifer Westoby (Student) |
Publications
Ferguson-Smith A
(2020)
Obstacles to Studying Alternative Splicing Using scRNA-seq
Westoby J
(2020)
Obstacles to detecting isoforms using full-length scRNA-seq data.
in Genome biology
Westoby J
(2018)
Simulation-based benchmarking of isoform quantification in single-cell RNA-seq.
in Genome biology
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| BB/M011194/1 | 30/09/2015 | 31/03/2024 | |||
| 1804962 | Studentship | BB/M011194/1 | 30/09/2016 | 10/01/2020 | Jennifer Westoby |
| Description | My research is on developing and understanding existing methods for analysing sequencing data. My first project, which I have now finished, has helped us understand which of the existing methods for analysing a type of sequencing data called single-cell RNA-seq better. My second project was on determining the extent to which it is currently possible to analyse alternative splicing using scRNA-seq data. I found that there is currently substantial technical and possibly biological confounding. |
| Exploitation Route | My findings are relevant to other bioinformaticians in industry and academia |
| Sectors | Agriculture Food and Drink Environment Healthcare Pharmaceuticals and Medical Biotechnology |
| URL | https://www.ncbi.nlm.nih.gov/pubmed/?term=westoby+isoform |
| Description | I have published a benchmark of isoform quantification software. This benchmark is likely to be used in academic and industrial biotechnology environments to select the best performing isoform quantification tool for single-cell RNA-seq. I also released a preprint to biorXiV on the current limitations of studying alternative splicing using scRNA-seq. My findings are relevant to scientists studying scRNA-seq in academic and industry contexts. |
| First Year Of Impact | 2018 |
| Sector | Healthcare,Pharmaceuticals and Medical Biotechnology |
| Impact Types | Economic |