Distinguishing potential bacteria-tumor associations from contamination in a secondary data analysis of public cancer genome sequence data

Title
Distinguishing potential bacteria-tumor associations from contamination in a secondary data analysis of public cancer genome sequence data
Authors
Keywords
Microbiome, Cancer, Batch effects, Genome sequencing, Cancer-associated bacteria, <em class=EmphasisTypeItalic >Acinetobacter</em>, <em class=EmphasisTypeItalic >Pseudomonas</em>, Stomach adenocarcinoma, Acute myeloid leukemia
Journal
Microbiome
Volume 5, Issue 1, Pages -
Publisher
Springer Nature
Online
2017-01-25
DOI
10.1186/s40168-016-0224-8

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