An atlas of human long non-coding RNAs with accurate 5′ ends
- Submitting institution
-
University of Southampton
- Unit of assessment
- 5 - Biological Sciences
- Output identifier
- 59809864
- Type
- D - Journal article
- DOI
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10.1038/nature21374
- Title of journal
- Nature
- Article number
- -
- First page
- 199
- Volume
- 543
- Issue
- 7644
- ISSN
- 0028-0836
- Open access status
- Technical exception
- Month of publication
- March
- Year of publication
- 2017
- 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
- No
- Number of additional authors
-
38
- Research group(s)
-
-
- Citation count
- 374
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- Rackham - I am a contributing author on this paper. This paper set out to map and annotate all human long non-coding RNAs. My responsibility was to perform a de novo assembly of 70 ultra deep RNA-seq datasets in order to identify any possible novel transcripts that previously had been missed. This was incorporated into the study by combining these with other transcript models before a process of annotation and validation took place.
- Non-English
- No
- English abstract
- -