Nucleic Acids Research Advance Access originally published online on December 1, 2006
Nucleic Acids Research 2007 35(Database issue):D178-D182; doi:10.1093/nar/gkl926
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Nucleic Acids Research, 2007, Vol. 35, Database issue D178-D182
© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Articles |
RNAdb 2.0—an expanded database of mammalian non-coding RNAs
1 ARC Special Research Centre for Functional and Applied Genomics, Institute for Molecular Bioscience, University of Queensland Brisbane, Queensland 4072, Australia 2 T cell Laboratory, Ludwig Institute for Cancer Research, Melbourne Centre for Clinical Sciences, Austin Hospital, Heidelberg Victoria 3084, Australia 3 Computational Biology Unit, Bergen Center for Computational Science, University of Bergen Bergen, Norway 4 Programme for Genomics and Bioinformatics, Department of Cell and Molecular Biology, Karolinska Institutet Stockholm, Sweden
*To whom correspondence should be addressed. Tel: + 61 7 3346 2079; Fax: +1 61 7 3346 2111; Email: j.mattick{at}imb.uq.edu.au
Received September 14, 2006. Revised October 17, 2006. Accepted October 17, 2006.
RNAdb is a comprehensive database of mammalian non-protein-coding RNAs (ncRNAs). There is increasing recognition that ncRNAs play important regulatory roles in multicellular organisms, and there is an expanding rate of discovery of novel ncRNAs as well as an increasing allocation of function. In this update to RNAdb, we provide nucleotide sequences and annotations for tens of thousands of non-housekeeping ncRNAs, including a wide range of mammalian microRNAs, small nucleolar RNAs and larger mRNA-like ncRNAs. Some of these have documented functions and/or expression patterns, but the majority remain of unclear significance, and include PIWI-interacting RNAs, ncRNAs identified from the latest rounds of large-scale cDNA sequencing projects, putative antisense transcripts, as well as ncRNAs predicted on the basis of structural features and alignments. Improvements to the database comprise not only new and updated ncRNA datasets, but also provision of microarray-based expression data and closer interface with more specialized ncRNA resources such as miRBase and snoRNA-LBME-db. To access RNAdb, visit http://research.imb.uq.edu.au/RNAdb.
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors
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