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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Προβολή τεκμηρίου
  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Προβολή τεκμηρίου
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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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DIANA-miTED: A microRNA tissue expression database

Thumbnail
Συγγραφέας
Kavakiotis I., Alexiou A., Tastsoglou S., Vlachos I.S., Hatzigeorgiou A.G.
Ημερομηνία
2022
Γλώσσα
en
DOI
10.1093/nar/gkab733
Λέξη-κλειδί
microRNA
microRNA
transcriptome
Article
bioinformatics
cancer genome atlas
dashr2
data base
deepbase v3 0
diana mited
gender
gene expression
gene expression profiling
high throughput analysis
hmed
human
information processing
information retrieval
metadata
mirmine
RNA sequencing
seaweb
ym500v3
binding site
classification
gene expression regulation
genetic database
genetics
genome
nucleic acid database
software
tissue distribution
Binding Sites
Databases, Genetic
Databases, Nucleic Acid
Gene Expression Regulation
Genome
Humans
MicroRNAs
Software
Tissue Distribution
Transcriptome
Oxford University Press
Εμφάνιση Μεταδεδομένων
Επιτομή
microRNAs (miRNAs) are short (∼23nt) single-stranded non-coding RNAs that act as potent post-transcriptional gene expression regulators. Information about miRNA expression and distribution across cell types and tissues is crucial to the understanding of their function and for their translational use as biomarkers or therapeutic targets. DIANA-miTED is the most comprehensive and systematic collection of miRNA expression values derived from the analysis of 15 183 raw human small RNA-Seq (sRNA-Seq) datasets from the Sequence Read Archive (SRA) and The Cancer Genome Atlas (TCGA). Metadata quality maximizes the utility of expression atlases, therefore we manually curated SRA and TCGA-derived information to deliver a comprehensive and standardized set, incorporating in total 199 tissues, 82 anatomical sublocations, 267 cell lines and 261 diseases. miTED offers rich instant visualizations of the expression and sample distributions of requested data across variables, as well as study-wide diagrams and graphs enabling efficient content exploration. Queries also generate links towards state-of-the-art miRNA functional resources, deeming miTED an ideal starting point for expression retrieval, exploration, comparison, and downstream analysis, without requiring bioinformatics support or expertise. DIANA-miTED is freely available at http://www.microrna.gr/mited. © 2022 The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.
URI
http://hdl.handle.net/11615/74685
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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