PAREsnip2: A tool for high-throughput prediction of small RNA targets from degradome sequencing data using configurable targeting rules
- Submitting institution
-
The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182602973
- Type
- D - Journal article
- DOI
-
10.1093/nar/gky609
- Title of journal
- Nucleic Acids Research
- Article number
- -
- First page
- 8730
- Volume
- 46
- Issue
- 17
- ISSN
- 0305-1048
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- PAREsnip2 is a novel approach for detecting which gene is being regulated by which small RNA using next generation sequencing data. It allows analysis of important organisms with massive genomes, such as wheat, for the first time. PAREsnip2 is based on a new algorithm that encodes sequences to enable the rapid search for candidate small RNA gene targets. Co-author Thody was a doctoral student funded by a BBSRC studentship. PAREsnip can be downloaded within the “UEA sRNA Workbench” (Bioinformatics 2018, 34, 3382-3384), software developed through a BBSRC grant that has been downloaded over 24,500 times as of January 2021.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
