Journal
BIOINFORMATICS
Volume 36, Issue 4, Pages 1309-1310Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btz711
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Funding
- Hardiman Scholarship
- National University of Ireland Galway
- James Hutton Institute, Dundee, Scotland
- National University of Ireland Galway, Ireland
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A Summary: The overarching aim of microbiome analysis is to uncover the links between microbial phylogeny and function in order to access ecosystem functioning. This can be done using several experimental strategies targeting different biomolecules, including DNA (metagenomics), RNA (metatranscriptomics) and proteins (metaproteomics). Despite the importance of linking microbial function to phylogeny there are currently no visualization tools that effectively integrate this information. Chordomics is a Shiny-based application for linked -omics data analysis, allowing users to visualize microbial function and phylogeny on a single plot and compare datasets across time and environments.
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