ArticleBioinformatics (Oxford, England)2019
DASHR 2.0: integrated database of human small non-coding RNA genes and mature products.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 57 citations in OpenAlex.
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- Leveraging Foundation Models for the Characterization of Small-RNA Properties.Computational and structural biotechnology journal · 2026Article
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- Novel start codons introduce novel coding sequences in the human genomes.Scientific reports · 2023Article
- Characteristics of circulating small noncoding RNAs in plasma and serum during human aging.Aging medicine (Milton (N.S.W)) · 2023Article
- Non-coding RNAs in human health and disease: potential function as biomarkers and therapeutic targets.Functional & integrative genomics · 2023Review
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- The piRNA-pathway factor FKBP6 is essential for spermatogenesis but dispensable for control of meiotic LINE-1 expression in humans.American journal of human genetics · 2022Article
- CRISPRs in the human genome are differentially expressed between malignant and normal adjacent to tumor tissue.Communications biology · 2022Article
- FILER: a framework for harmonizing and querying large-scale functional genomics knowledge.NAR genomics and bioinformatics · 2022Article
- DIANA-miTED: a microRNA tissue expression database.Nucleic acids research · 2022Article
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- tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genes.Nucleic acids research · 2021Article
- Systematics for types and effects of RNA variations.RNA biology · 2021Article
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- Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing.Briefings in bioinformatics · 2021Article
- Distinct Extracellular RNA Profiles in Different Plasma Components.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
motivationSmall non-coding RNAs (sncRNAs, <100 nts) are highly abundant RNAs that regulate diverse and often tissue-specific cellular processes by associating with transcription factor complexes or binding to mRNAs. While thousands of sncRNA genes exist in the human genome, no single resource provides searchable, unified annotation, expression and processing information for full sncRNA transcripts and mature RNA products derived from these larger RNAs.
resultsOur goal is to establish a complete catalog of annotation, expression, processing, conservation, tissue-specificity and other biological features for all human sncRNA genes and mature products derived from all major RNA classes. DASHR (Database of small human non-coding RNAs) v2.0 database is the first that integrates human sncRNA gene and mature products profiles obtained from multiple RNA-seq protocols. Altogether, 185 tissues/cell types and sncRNA annotations and >800 curated experiments from ENCODE and GEO/SRA across multiple RNA-seq protocols for both GRCh38/hg38 and GRCh37/hg19 assemblies are integrated in DASHR. Moreover, DASHR is the first to contain both known and novel, previously un-annotated sncRNA loci identified by unsupervised segmentation (13 times more loci with 1 678 800 total). Additionally, DASHR v2.0 adds >3 200 000 annotations for non-small RNA genes and other genomic features (long-noncoding RNAs, mRNAs, promoters, repeats). Furthermore, DASHR v2.0 introduces an enhanced user interface, interactive experiment-by-locus table view, sncRNA locus sorting and filtering by biological features. All annotation and expression information directly downloadable and accessible as UCSC genome browser tracks. AVAILABILITY AND IMPLEMENTATION: DASHR v2.0 is freely available at https://lisanwanglab.org/DASHRv2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.