Cargando…
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...
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: | |
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 |
Ejemplares similares
-
A Review of Bacteria-Animal Lateral Gene Transfer May Inform Our Understanding of Diseases like Cancer
por: Robinson, Kelly M., et al.
Publicado: (2013) -
TwinBLAST: When Two Is Better than One
por: Dunning Hotopp, Julie C., et al.
Publicado: (2019) -
Using Sybil for interactive comparative genomics of microbes on the web
por: Riley, David R., et al.
Publicado: (2012) -
Bacteria-Human Somatic Cell Lateral Gene Transfer Is Enriched in Cancer Samples
por: Riley, David R., et al.
Publicado: (2013) -
Aligner optimization increases accuracy and decreases compute times in multi-species sequence data
por: Robinson, Kelly M., et al.
Publicado: (2017)