Estimating optimal window size for analysis of low-coverage next-generation sequence data
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- UOA10-2088
- Type
- D - Journal article
- DOI
-
10.1093/bioinformatics/btu123
- Title of journal
- Bioinformatics
- Article number
- -
- First page
- 1823
- Volume
- 30
- Issue
- 13
- ISSN
- 1367-4803
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 5 - Biological Sciences
- 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)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
