SVM-AGP specifications

Information


Unique identifier OMICS_29855
Name SVM-AGP
Alternative name Support Vector Machine-Atypical Genes Predictor
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
Requirements
numpy, scipy, sklearn, biopython, cd-hit, nicbi-blast+
Registration required Yes
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Olga Kalinina

Publication for Support Vector Machine-Atypical Genes Predictor

SVM-AGP institution(s)
Department for Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbr├╝cken, Germany
SVM-AGP funding source(s)
Supported by the Max Planck Society.

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