Microprocessor SVM specifications


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 in publications

PMCID: 3974652
PMID: 24699212
DOI: 10.1371/journal.pone.0089755

[…] 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 )., a series of microarrays, based on the rake approach, was used to experimentally identify mature mirnas […]

PMCID: 3854652
PMID: 24565218
DOI: 10.1186/1752-0509-7-S4-S4

[…] at the genome scale of drosophila experimentally with the tiling microarray technology []. computational method is another option for quickly and low-costly identifying drosha processing sites. the 'microprocessor svm' is a computational program used to identify human drosha processing sites with the feature set formed by structure information features and base pair information features […]

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

[…] 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 […]

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

[…] 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 […]

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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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