Output details
11 - Computer Science and Informatics
University of East Anglia
Article title
Deep sequencing of tomato short RNAs identifies microRNAs targeting genes involved in fruit ripening
Type
D - Journal article
Title of journal
Genome Research
Article number
-
Volume number
18
Issue number
10
First page of article
1602
ISSN of journal
1088-9051
Year of publication
2008
URL
-
Number of additional authors
6
Additional information
<28> MicroRNAs are an important class of molecules that regulate gene expression by modulating stability of their target messenger RNAs and the rate at which they are translated. We provide a detailed application of a novel computational approach called miRCat that we developed for identifying microRNAs in next generation sequencing data. It uses a search algorithm based on secondary structure prediction. miRCat is publicly available for download as part of the BBSRC-funded “UEA sRNA Workbench”, published as an application note (Bioinformatics, 2012, 28 (15): 2059-2061) and downloaded over 3,700 times as of July 2013.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Citation count
156
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
