The Amordad database engine for metagenomics | Zendy

Ehsan Behnam | Zendy; Andrew D. Smith | Zendy

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The Amordad database engine for metagenomics

Author(s) -

Ehsan Behnam,

Andrew D. Smith

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu405

Subject(s) - computer science , hash function , metagenomics , search engine indexing , data mining , graph , information retrieval , graph database , database , theoretical computer science , biology , biochemistry , computer security , gene

Several technical challenges in metagenomic data analysis, including assembling metagenomic sequence data or identifying operational taxonomic units, are both significant and well known. These forms of analysis are increasingly cited as conceptually flawed, given the extreme variation within traditionally defined species and rampant horizontal gene transfer. Furthermore, computational requirements of such analysis have hindered content-based organization of metagenomic data at large scale.

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