NAR Molecular Biology Database Collection entry number 1840
Wang, Li-San; Leung, Yuk Yee; Kuksa, Pavel; Amlie-Wolff, Alexandre; Valladares, Otto; Ungar, Lyle; Kannan, Sampath; Gregory, Brian
1Department of Pathology and Laboratory Medicine,
2Penn Institute for Biomedical Informatics,
3Genomics and Computational Biology Graduate Group,
4Department of Computer and Information Science,
5Department of Biology,
6Institute on Aging, University of Pennsylvania, Philadelphia, PA 19104, USA.

Database Description

DASHR, the database of all major classes of human small non-coding RNAs (sncRNAs), contains the most comprehensive information (sequence, annotation, sequencing-based expression levels, RNA secondary structure, and evidence of specific RNA processing) to date on both full sncRNA transcripts and mature sncRNA products derived from these larger RNAs in various human tissues. The database is publicly available at http://lisanwanglab.org/DASHR and the corresponding DASHR UCSC Genome Browser hub http://lisanwanglab.org/DASHR/tracks/hub.txt.


National Institute of General Medical Sciences [R01-GM099962]; the National Institute on Aging [U24-AG041689 and U01-AG032984]; the Penn Alzheimer's Disease Center [P30-AG10124]; and the National Science Foundation [MCB-1053846].


1) Mattick, J.S. (2001) Non-coding RNAs: the architects of eukaryotic complexity. EMBO Rep., 2, 986-991.
2) Esteller M. (2011) Non-coding RNAs in human disease. Nat Rev Genet., 12, 861-874.
3) Leung Y.Y., Ryvkin P., Ungar L.H., Gregory B.D., Wang L.S. (2013) CoRAL: predicting non-coding RNAs from small RNA-sequencing data. Nucleic Acids Res.,41, :e137.
4) Ishizu H., Siomi H. and Siomi M.C. (2012) Biology of PIWI-interacting RNAs: new insights into biogenesis and function inside and outside of germlines. Genes Dev., 26, 2361-2373.
5) Kirchner S. and Ignatova Z. (2015) Emerging roles of tRNA in adaptive translation, signalling dynamics and disease. Nat Rev Genet., 16, 98-112.

Go to the abstract in the NAR 2016 Database Issue.
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