omicplotR: visualizing omic datasets as compositions

omicplotR: visualizing omic datasets as compositions

Abstract Background Differential abundance analysis is widely used with high-throughput sequencing data to compare gene abundance or expression between groups of samples. Many software packages exist for this purpose, but each uses a unique set of statistical assumptions to solve problems on a case-...

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Bibliographic Details
Main Authors: Daniel J. Giguere, Jean M. Macklaim, Brandon Y. Lieng, Gregory B. Gloor
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Bioinformatics
Subjects:
Differential abundance
Data visualization
Compositional data
Effect plots
Exploratory data analysis
Differential expression
Online Access:http://link.springer.com/article/10.1186/s12859-019-3174-x

Internet

http://link.springer.com/article/10.1186/s12859-019-3174-x

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