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Quantifying variances in comparative RNA secondary structure prediction.

Abstract:

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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Institution:
University of Oxford
Role:
Author
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Publisher:
BioMed Central Publisher's website
Journal:
BMC bioinformatics Journal website
Volume:
14
Issue:
1
Pages:
149
Publication date:
2013-01-01
DOI:
EISSN:
1471-2105
ISSN:
1471-2105
Source identifiers:
401907
Language:
English
Keywords:
UUID:
uuid:121a7813-3c49-41ef-8243-f2a6baebdf69
Local pid:
pubs:401907
Deposit date:
2013-11-17

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