Dear All,
We introduce a novel platform/database, deepBase, which we have developed to map, store, retrieve, annotate, integrate and visualize deep sequencing-derived small RNAs, and facilitate transcriptomic research and the discovery of novel ncRNAs.
deepBase: a database for deeply annotating and mining deep sequencing data. Nucleic Acids Res., 2010,38: D123-D130. December 4, 2009.
deepBase is available at: http://deepbase.sysu.edu.cn/
Features of deepBase as follows,
Deep sequencing data and species
Deep sequencing data from 185 (now is 237) small RNA libraries from diverse tissues and cell lines.
Seven organisms: human, mouse, chicken, Ciona intestinalis, Drosophila melanogaster, Caenhorhabditis elegans and Arabidopsis thaliana.
Annotation and identification of diverse small RNAs
we annotated and identified
~380 000 unique ncRNA-associated small RNAs (nasRNAs)
~1.5 million unique promoter-associated small RNAs (pasRNAs)
~4.0 million unique exon-associated small RNAs (easRNAs)
~6 million unique repeat-associated small RNAs (rasRNAs)
Discovering RNA clusters and long ncRNAs
We identified
about 1.2 million RNA clusters that include multiple classes of infrastructural ncRNAs (e.g. tRNAs, rRNAs, snRNA and snoRNAs), miRNAs precursor, piRNA precursors, repeat-associated siRNA precursors and evolutionarily conserved phastCons elements.
~2000 microRNA candidates were identified from deep sequencing data using modified miRDeep program.
~1890 snoRNA candidates were predicted from RNA clusters using our snoSeeker program.
Visualization
A new visualization tool, deepView genome browser, to provide an integrated view of mapped reads, known and predicted ncRNAs, protein-coding genes and RNA clusters and their expression peaks (mapped small RNA density).
Stand-alone graphical interface (GUI) tools
Stand-alone graphical user interface (GUI) tools for deep sequencing-derived small RNA were provided in deepBase. All these softwares are preliminary version. We are actively updating and maintaining them.
This is the first version of deepBase database. We look forward to your feedback.
Thanks!
JianHua
We introduce a novel platform/database, deepBase, which we have developed to map, store, retrieve, annotate, integrate and visualize deep sequencing-derived small RNAs, and facilitate transcriptomic research and the discovery of novel ncRNAs.
deepBase: a database for deeply annotating and mining deep sequencing data. Nucleic Acids Res., 2010,38: D123-D130. December 4, 2009.
deepBase is available at: http://deepbase.sysu.edu.cn/
Features of deepBase as follows,
Deep sequencing data and species
Deep sequencing data from 185 (now is 237) small RNA libraries from diverse tissues and cell lines.
Seven organisms: human, mouse, chicken, Ciona intestinalis, Drosophila melanogaster, Caenhorhabditis elegans and Arabidopsis thaliana.
Annotation and identification of diverse small RNAs
we annotated and identified
~380 000 unique ncRNA-associated small RNAs (nasRNAs)
~1.5 million unique promoter-associated small RNAs (pasRNAs)
~4.0 million unique exon-associated small RNAs (easRNAs)
~6 million unique repeat-associated small RNAs (rasRNAs)
Discovering RNA clusters and long ncRNAs
We identified
about 1.2 million RNA clusters that include multiple classes of infrastructural ncRNAs (e.g. tRNAs, rRNAs, snRNA and snoRNAs), miRNAs precursor, piRNA precursors, repeat-associated siRNA precursors and evolutionarily conserved phastCons elements.
~2000 microRNA candidates were identified from deep sequencing data using modified miRDeep program.
~1890 snoRNA candidates were predicted from RNA clusters using our snoSeeker program.
Visualization
A new visualization tool, deepView genome browser, to provide an integrated view of mapped reads, known and predicted ncRNAs, protein-coding genes and RNA clusters and their expression peaks (mapped small RNA density).
Stand-alone graphical interface (GUI) tools
Stand-alone graphical user interface (GUI) tools for deep sequencing-derived small RNA were provided in deepBase. All these softwares are preliminary version. We are actively updating and maintaining them.
This is the first version of deepBase database. We look forward to your feedback.
Thanks!
JianHua
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