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

BACKGROUND: A variety of bacteria are known to influence carcinogenesis. Therefore, we sought to investigate if publicly available whole genome and whole transcriptome sequencing data generated by large public cancer genome efforts, like The Cancer Genome Atlas (TCGA), could be used to identify bact...

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Detalles Bibliográficos
Autores principales: Robinson, Kelly M., Crabtree, Jonathan, Mattick, John S. A., Anderson, Kathleen E., Dunning Hotopp, Julie C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264480/
https://www.ncbi.nlm.nih.gov/pubmed/28118849
http://dx.doi.org/10.1186/s40168-016-0224-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264480/
https://www.ncbi.nlm.nih.gov/pubmed/28118849
http://dx.doi.org/10.1186/s40168-016-0224-8

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