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Explicet: graphical user interface software for metadata-driven management, analysis and visualization of microbiome data
Author(s) -
Charles E. Robertson,
J. Kirk Harris,
Brandie D. Wagner,
David Granger,
Kathy Browne,
Beth Tatem,
Leah M. Feazel,
Kristin Park,
Norman R. Pace,
Daniel N. Frank
Publication year - 2013
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/btt526
Subject(s) - computer science , metadata , graphical user interface , software , source code , visualization , interface (matter) , software engineering , world wide web , user interface , microbiome , license , mit license , scope (computer science) , operating system , programming language , data mining , bioinformatics , bubble , maximum bubble pressure method , biology
Studies of the human microbiome, and microbial community ecology in general, have blossomed of late and are now a burgeoning source of exciting research findings. Along with the advent of next-generation sequencing platforms, which have dramatically increased the scope of microbiome-related projects, several high-performance sequence analysis pipelines (e.g. QIIME, MOTHUR, VAMPS) are now available to investigators for microbiome analysis. The subject of our manuscript, the graphical user interface-based Explicet software package, fills a previously unmet need for a robust, yet intuitive means of integrating the outputs of the software pipelines with user-specified metadata and then visualizing the combined data.

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