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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.
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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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DIANA-miRGen v3.0: Accurate characterization of microRNA promoters and their regulators

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Συγγραφέας
Georgakilas G., Vlachos I.S., Zagganas K., Vergoulis T., Paraskevopoulou M.D., Kanellos I., Tsanakas P., Dellis D., Fevgas A., Dalamagas T., Hatzigeorgiou A.G.
Ημερομηνία
2016
Γλώσσα
en
DOI
10.1093/nar/gkv1254
Λέξη-κλειδί
microRNA
transcription factor
microRNA
Article
binding site
computer interface
nucleic acid database
priority journal
promoter region
transcription initiation site
transcription regulation
animal
cell line
gene expression regulation
genetics
human
metabolism
mouse
promoter region
Animals
Binding Sites
Cell Line
Databases, Nucleic Acid
Gene Expression Regulation
Humans
Mice
MicroRNAs
Promoter Regions, Genetic
Transcription Factors
Transcription Initiation Site
Oxford University Press
Εμφάνιση Μεταδεδομένων
Επιτομή
MicroRNAs (miRNAs) are small non-coding RNAs that actively fine-tune gene expression. The accurate characterization of the mechanisms underlying miRNA transcription regulation will further expand our knowledge regarding their implication in homeostatic and pathobiological networks. Aim of DIANA-miRGen v3.0 (http://www.microrna.gr/mirgen) is to provide for the first time accurate cell-line-specific miRNA gene transcription start sites (TSSs), coupled with genome-wide maps of transcription factor (TF) binding sites in order to unveil the mechanisms of miRNA transcription regulation. To this end, more than 7.3 billion RNA-, ChIP- and DNase-Seq next generation sequencing reads were analyzed/assembled and combined with state-of-the-art miRNA TSS prediction and TF binding site identification algorithms. The new database schema and web interface facilitates user interaction, provides advanced queries and innate connection with other DIANA resources for miRNA target identification and pathway analysis. The database currently supports 276 miRNA TSSs that correspond to 428 precursors and >19M binding sites of 202 TFs on a genome-wide scale in nine cell-lines and six tissues of Homo sapiensand Mus musculus. © The Author(s) 2015.
URI
http://hdl.handle.net/11615/72047
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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