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

Microbiome

Volumn 5, Issue 1, 2017, Pages

  Robinson, Kelly M ^a   Crabtree, Jonathan ^a   Mattick, John S A ^a   Anderson, Kathleen E ^a   Hotopp, Julie C Dunning ^a  

^a UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

Author keywords

Acinetobacter; Acute myeloid leukemia; Batch effects; Cancer; Cancer associated bacteria; Genome sequencing; Microbiome; Pseudomonas; Stomach adenocarcinoma

Indexed keywords

BACTERIAL DNA;

ACUTE MYELOID LEUKEMIA; ARTICLE; BACTERIAL GENOME; BACTERIAL MICROBIOME; BACTERIUM; BACTERIUM CONTAMINATION; CARCINOGENESIS; CONTROLLED STUDY; CORRELATION ANALYSIS; CYSTADENOCARCINOMA; DATA ANALYSIS; DATA BASE; DISEASE ASSOCIATION; ENTEROBACTERIACEAE; GENE SEQUENCE; GLIOBLASTOMA; HUMAN; MICROBIAL DIVERSITY; MYCOBACTERIUM TUBERCULOSIS COMPLEX; NUCLEOTIDE SEQUENCE; PAPILLARY CARCINOMA; POPULATION ABUNDANCE; PRIORITY JOURNAL; RALSTONIA; STOMACH ADENOCARCINOMA; TAXONOMY; TUMOR GENE; ACINETOBACTER; CARCINOMA; CHROMOSOMAL MAPPING; CLASSIFICATION; GENETIC DATABASE; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN GENOME; ISOLATION AND PURIFICATION; MICROBIOLOGY; MICROFLORA; MYCOBACTERIUM TUBERCULOSIS; NEOPLASM; OVARY TUMOR; PSEUDOMONAS;

ACINETOBACTER; BACTERIA; BASE SEQUENCE; CARCINOMA; CHROMOSOME MAPPING; CYSTADENOCARCINOMA, SEROUS; DATABASES, GENETIC; GENOME, BACTERIAL; GENOME, HUMAN; GLIOBLASTOMA; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; LEUKEMIA, MYELOID, ACUTE; MICROBIOTA; MYCOBACTERIUM TUBERCULOSIS; NEOPLASMS, GLANDULAR AND EPITHELIAL; OVARIAN NEOPLASMS; PSEUDOMONAS;

EID: 85015972930     PISSN: None     EISSN: 20492618     Source Type: Journal    
DOI: 10.1186/s40168-016-0224-8     Document Type: Article

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