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piRNA cluster database
Provides information on piRNAs and their genomic source loci. piRNA cluster database bundles small RNA sequence information obtained from different tissues and/or developmental stages which allows to get a complete picture of genomic loci that can produce piRNAs under certain conditions. It also facilitates the comparison of transcriptional activity for any piRNA producing locus in time and space. Finally, it supplies detailed information from standardized bioinformatic analysis pipelines for each incorporated sequence dataset and provides processed and pre-filtered sequence datasets which simplifies further comparative analyses of sequence data which is commonly not easily accessible as it is deposited as raw sequence data in NCBI's Sequence Read Archive.
NSDNA / Nervous System Disease NcRNAome Atlas
A manually curated database that provides comprehensive experimentally supported associations about nervous system diseases (NSDs) and noncoding RNAs (ncRNAs). NSDNA database documents 24713 associations between 142 NSDs and 8593 ncRNAs in 11 species, curated from more than 1300 articles. This database provides a user-friendly interface for browsing and searching and allows for data downloading flexibility. In addition, NSDNA offers a submission page for researchers to submit novel NSD-ncRNA associations. It represents a useful and valuable resource for researchers who seek to understand the functions and molecular mechanisms of ncRNA involved in NSDs.
DASHR / Database of small human noncoding RNAs
Contains the most comprehensive information to date on human small non-coding RNAs (sncRNA) genes and mature sncRNA products. DASHR provides a simple user interface for researchers to view sequence and secondary structure, compare expression levels, and evidence of specific processing across all sncRNA genes and mature sncRNA products in various human tissues. DASHR annotation and expression data covers all major classes of sncRNAs including microRNAs (miRNAs), Piwi-interacting (piRNAs), small nuclear, nucleolar, cytoplasmic (sn-, sno-, scRNAs, respectively), transfer (tRNAs), and ribosomal RNAs (rRNAs). DASHR is distinct from other existing databases because it integrates annotations for all major classes of sncRNAs with baseline expression profiles in different human tissues and cell types, making it a very useful resource to the broader scientific community.
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