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Protocols

MatureBayes specifications

Information


Unique identifier OMICS_11463
Name MatureBayes
Interface Web user interface
Restrictions to use None
Input data miRNA precursor sequence(s)
Computer skills Basic
Stability Stable
Maintained Yes

Taxon


  • Invertebrates
    • Drosophila melanogaster
  • Primates
    • Homo sapiens
  • Rodents
    • Mus musculus
  • Vertebrates
    • Danio rerio

Maintainer


  • person_outline Payiota Poirazi

Publication for MatureBayes

MatureBayes citations

 (10)
library_books

Identification and Expression of Equine MER Derived miRNAs

2017
Mol Cells
PMCID: 5424272
PMID: 28320202
DOI: 10.14348/molcells.2017.2295

[…] tool (http://evryrna.ibisc.univ-evry.fr/mirnafold/) for the horse genome. next, mature mirnas derived from mer precursor forms (selected for having minimum free energies) were predicted using maturebayes program (http://mirna.imbb.forth.gr/mature-bayes.html). maturebayes is a tool to predict mature mirna from mirna precursor palindromic hairpin structures. mature forms were confirmed […]

library_books

Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri

2015
Bioinformation
PMCID: 4702033
PMID: 26770029
DOI: 10.6026/97320630011550

[…] for repetitive sequence by aligning input genomic sequence against repbase by performing alignment program with cross_match as search engine []. dataset decreases to 246 mirna candidates. finally, maturebayes tool (http://mirna.imbb.forth.gr/maturebayes.html) is used to identify mature mirna sequence in mirna precursor []. out of 246 mirnas one mirna was not able form mature sequence […]

library_books

Bioinformatic tools for microRNA dissection

2015
Nucleic Acids Res
PMCID: 4705652
PMID: 26578605
DOI: 10.1093/nar/gkv1221

[…] bayesmirnafind () is a computational approach that predicts known mirnas based on their secondary structure and sequence for a specific genome as the input. another nbc-based computational tool, maturebayes (), identifies mature mirna candidates based on sequence and secondary structure information of their mirna precursors. the method predicts the start position of experimentally verified, […]

library_books

Small RNAs in metastatic and non metastatic oral squamous cell carcinoma

2015
BMC Med Genomics
PMCID: 4479233
PMID: 26104160
DOI: 10.1186/s12920-015-0102-4

[…] most likely map within the stem of the predicted structure. the only candidate that fulfilled this criterium was 12375 (fig. ). additionally, as a means to add to this structural prediction, we used maturebayes to find a putative mature sequence within this structure, and the algorithm found one that mapped exactly within our sequenced read (fig. ). a similarity search against 3’utr sequences […]

library_books

Systematic Genome wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak

2015
Sci Rep
PMCID: 4603304
PMID: 26011078
DOI: 10.1038/srep09912

[…] precursors from the obtained sequences with a prediction confidence equal to or greater than 70%. subsequently, mature mirna sequences were predicted from the pre-mirna stem-loops. then we used the maturebayes tool to extend the prediction coverage of the mature mirnas. the default conditions were used for the maturebayes tool., human target genes of novel ebov mirnas were predicted using […]

library_books

Analyses of Hypomethylated Oil Palm Gene Space

2014
PLoS One
PMCID: 3907425
PMID: 24497974
DOI: 10.1371/journal.pone.0086728

[…] structures were aligned with the rnadistance program. if the structure around the match showed similarity to the loop, it was considered as a partial match. mature mirnas were predicted using maturebayes ., a total 461,286 methylation-filtered and uf sequences were generated from 246,801 plasmids from the respective eg and eo libraries (). the sequences were analysed and filtered prior […]


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MatureBayes institution(s)
Computer Science Department, University of Crete, Heraklion, Greece; Institute of Computer Science (ICS), Foundation for Research and Technology-Hellas (FORTH), Heraklion, Greece; Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology-Hellas (FORTH), Heraklion, Greece
MatureBayes funding source(s)
This work was funded by the Marie Curie TOK-DEV ASPIRE grant [MTKD-CT-2005- 029791] within the 6th European Community Framework Program and the Marie Curie Outgoing Fellowship [PIOF-GA- 2008-219622] of the European Commission.

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