Electrophoretic data classification for phylogenetics and biostatistics | Zendy

Gianluigi Cardinali | Zendy; Francesco Maraziti | Zendy; S.Annal Ezhil Selvi | Zendy

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Electrophoretic data classification for phylogenetics and biostatistics

Author(s) -

Gianluigi Cardinali,

Francesco Maraziti,

S.Annal Ezhil Selvi

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg294

Subject(s) - computer science , binary number , python (programming language) , multivariate statistics , binary data , software , dendrogram , phylogenetics , data mining , phylogenetic tree , macro , biostatistics , mathematics , machine learning , biology , programming language , medicine , population , biochemistry , demography , arithmetic , nursing , sociology , genetic diversity , gene , public health

This paper presents ClassMaker, a macro of MS Excel able to classify continuous data of molecular weight data as binary (1/0) values. The output is represented by a binary matrix, which can be introduced in every software application for phylogenetics or multivariate statistics. This application is designed in order to be a link between image analysis programs and statistical or phylogenetic applications, in order to produce a complete series of free programs able to carry out the complete analysis from the gel to the dendrogram.

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