SongQAData | R Documentation |
Obtain the microbiome data from Song et al. (2016).
SongQAData()
qa10934()
The SongQA dataset contains microbiome data from a study comparing different sample preparation methods focusing on temperature and DNA extraction methods mainly.
The dataset was generated by sequencing the variable region 4 of 16S rRNA genes via Illumina HiSeq or MiSeq.
Column metadata was reconstructed from sample names and includes information on the source, timepoint, extraction method, temperature conditions and other optional data.
Row metadata contains taxonomic information on the Phylum, Family and Genus level.
All data are downloaded from ExperimentHub and cached for local re-use.
a TreeSummarizedExperiment
Felix G.M. Ernst
https://qiita.ucsd.edu/study/description/10394
Preservation Methods Differ in Fecal Microbiome Stability, Affecting Suitability for Field Studies. Se Jin Song, Amnon Amir, Jessica L. Metcalf, Katherine R. Amato, Zhenjiang Zech Xu, Greg Humphrey, Rob Knight. mSystems May 2016, 1 (3) e00021-16; DOI: 10.1128/mSystems.00021-16
tse <- SongQAData()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.