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Microprocessor SVM specifications

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Unique identifier OMICS_14636
Name Microprocessor SVM
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability No
Maintained No

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Publication for Microprocessor SVM

Microprocessor SVM citations

 (4)
call_split

Tissue Specific Expression and Regulatory Networks of Pig MicroRNAome

2014
PLoS One
PMCID: 3974652
PMID: 24699212
DOI: 10.1371/journal.pone.0089755
call_split See protocol

[…] th the triplet SVM algorithm (probability score higher than 0.998), produced 10,239 probable pre-miRNA hairpins (Table A in ) . Finally, the sequence of Drosha binding site was identified through the Microprocessor SVM algorithm , obtaining 5,100 unique entries (SVM score <0, Table B in ). […]

library_books

A novel two layer SVM model in miRNA Drosha processing site detection

2013
BMC Syst Biol
PMCID: 3854652
PMID: 24565218
DOI: 10.1186/1752-0509-7-S4-S4

[…] h the true processing sites from the ones that nearby. In the previous study, the true processing sites and the neighboring sites within 2nt are indistinct due to the similar scores assigned by their Microprocessor SVM, which led to a serious problem in predicting Drosha processing site. Finding the features that can sufficiently characterize the genuine Drosha processing sites from the neighborin […]

library_books

Experimental Verification of a Predicted Intronic MicroRNA in Human NGFR Gene with a Potential Pro Apoptotic Function

2012
PLoS One
PMCID: 3338703
PMID: 22558167
DOI: 10.1371/journal.pone.0035561

[…] www.bioinf.seu.edu.cn/miRNA] programs were employed. For the identification of putative miRNA precursors in NGFR introns CID-miRNA was used along with the prediction of Dorsha processing sites using Microprocessor SVM (https://demo1.interagon.com/miRNA/) program . Mireval (http://tagc.univ-mrs.fr/mireval/) and mirbase (http://www.mirbase.org/index.shtml) databases were also used to determine the […]

library_books

Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum

2010
BMC Genomics
PMCID: 2880305
PMID: 20444247
DOI: 10.1186/1471-2164-11-281

[…] irpins: folding energy, total and maximum internal loop size and symmetry, arms and terminal loop sizes; GC%, complexity score (in terms of repetitions of small motifs) and the score delivered by the Microprocessor SVM [] which characterizes the presence of a Drosha recognition site. Using 38 pea aphid miRNAs already found by homology search as a learning set, we constructed a classifier using all […]


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Microprocessor SVM institution(s)
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway; Interagon AS, Laboratoriesenteret, Trondheim, Norway; Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
Microprocessor SVM funding source(s)
Supported by the bioinformatics platform of the Norwegian Research Council’s Functional Genomics Program (FUGE).

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