Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification | Zendy

Christian W. Martin | Zendy; Naryttza N. Diaz | Zendy; Jörg Ontrup | Zendy; Tim W. Nattkemper | Zendy

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Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification

Author(s) -

Christian W. Martin,

Naryttza N. Diaz,

Jörg Ontrup,

Tim W. Nattkemper

Publication year - 2008

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/btn257

Subject(s) - phylogenetic tree , cluster analysis , visualization , classifier (uml) , computer science , pattern recognition (psychology) , biological classification , dna sequencing , fragment (logic) , computational biology , artificial intelligence , biology , data mining , dna , evolutionary biology , genetics , gene , algorithm

Modern high-throughput sequencing technologies enable the simultaneous analysis of organisms in an environment. The analysis of species diversity and the binning of DNA fragments of non-sequenced species for assembly are two major challenges in sequence analysis. To achieve reasonable binnings and classifications, DNA fragment structure has to be represented appropriately, so it can be processed by machine learning algorithms.

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