IMPAM   23988
INSTITUTO DE INVESTIGACIONES EN MICROBIOLOGIA Y PARASITOLOGIA MEDICA
Unidad Ejecutora - UE
artículos
Título:
miRNAfe: a comprehensive tool for feature extraction in microRNA prediction
Autor/es:
YONES C; STEGMAYER, G.; KAMENETZKY, L.; MILONE, D.
Revista:
BIOSYSTEMS
Editorial:
ELSEVIER SCI LTD
Referencias:
Lugar: Amsterdam; Año: 2015 vol. 138
ISSN:
0303-2647
Resumen:
AbstractmiRNAfe is a comprehensive tool to extract features from RNA sequences. Itis freely available as a web service, allowing a single access point to almost allstate-of-the-art feature extraction methods used today in a variety of works fromdifferent authors. It has a very simple user interface, where the user only needsto load a file containing the input sequences and select the features to extract.As a result, the user obtains a text file with the features extracted, which canbe used to analyze the sequences or as input to a miRNA prediction software.The tool can calculate up to 80 features where many of them are multi-dimensional arrays. In order to simplify the web interface, the features havebeen divided into six pre-defined groups, each one providing information about:primary sequence, secondary structure, thermodynamic stability, statistical sta-bility, conservation between genomes of different species and substrings analysisof the sequences. Additionally, pre-trained classifiers are provided for predictionin different species. All algorithms to extract the features have been validated,comparing the results with the ones obtained from software of the original au-thors.
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