Journal article
Quantifying variances in comparative RNA secondary structure prediction.
- Abstract:
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BACKGROUND: With the advancement of next-generation sequencing and transcriptomics technologies, regulatory effects involving RNA, in particular RNA structural changes are being detected. These results often rely on RNA secondary structure predictions. However, current approaches to RNA secondary structure modelling produce predictions with a high variance in predictive accuracy, and we have little quantifiable knowledge about the reasons for these variances. RESULTS: In this paper we explor...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Publisher copy:
- 10.1186/1471-2105-14-149
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Authors
Funding
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Anderson, J
+ Biotechnology and Biological Sciences Research Council
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Funding agency for:
Novák, A
European Union
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Bibliographic Details
- Publisher:
- BioMed Central Publisher's website
- Journal:
- BMC bioinformatics Journal website
- Volume:
- 14
- Issue:
- 1
- Pages:
- 149
- Publication date:
- 2013-01-01
- DOI:
- EISSN:
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1471-2105
- ISSN:
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1471-2105
- Source identifiers:
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401907
Item Description
- Language:
- English
- Keywords:
- UUID:
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uuid:121a7813-3c49-41ef-8243-f2a6baebdf69
- Local pid:
- pubs:401907
- Deposit date:
- 2013-11-17
Terms of use
- Copyright holder:
- Anderson et al
- Copyright date:
- 2013
- Notes:
- © 2013 Anderson et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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