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decodeRNA-predicting non-coding RNA functions using guilt-by-association

delete2017-06-11
delete16
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OA
AI
S
Steve Lefever
J
Jasper Anckaert
P
Pieter‐Jan Volders
M
Manuel Luypaert *
J
Jo Vandesompele
P
Pieter Mestdagh
DOI:10.1093/database/bax042delete
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Abstract

Abstract

En 中文
Although the long non-coding RNA (lncRNA) landscape is expanding rapidly, only a small number of lncRNAs have been functionally annotated. Here, we present decodeRNA (http://www.decoderna.org), a database providing functional contexts for both human lncRNAs and microRNAs in 29 cancer and 12 normal tissue types. With state-of-the-art data mining and visualization options, easy access to results and a straightforward user interface, decodeRNA aims to be a powerful tool for researchers in the ncRNA field.
Keywords:
BREAST-CANCER CELLS
COLORECTAL-CANCER
INTEGRATIVE GENOMICS
LNCRNA
DATABASE
PROLIFERATION
METASTASIS
EXPRESSION
MICRORNAS
PROMOTE
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

D
Database-The Journal of Biological Databases and Curation
IF:
3.6
Papers:
1.7K
Citations:
6.1K

Organization

G
Ghent University
Scholars:
5.2W
Papers: 4.5W
Citations: 5.5W