Welcome to BIC DB

BIC: a database for the transcriptional landscape of bacteria in cancer

Microbial communities are massively resident in the human body, yet dysbiosis has been reported to correlate with many diseases, including various cancers. Most studies focus on the gut microbiome, while the bacteria that participate in tumor microenvironments on site remain unclear. Previous studies have acquired the bacteria expression profiles from RNA-seq, whole genome sequencing, and whole exon sequencing in The Cancer Genome Atlas (TCGA). However, small-RNA sequencing data were rarely used. Using TCGA miRNA sequencing data, we evaluated bacterial abundance in 32 types of cancer. To uncover the bacteria involved in cancer, we applied an analytical process to align unmapped human reads to bacterial references and developed the BIC database for the transcriptional landscape of bacteria in cancer. BIC provides cancer-associated bacterial information, including the relative abundance of bacteria, bacterial diversity, associations with clinical relevance, the co-expression network of bacteria and human genes, and their associated gene ontology. These results can complement previously published databases. Users can easily download the result plots and tables, or download the bacterial abundance matrix for further analyses. In summary, BIC can provide information on cancer microenvironments related to microbial communities. BIC is available at: http://bic.jhlab.tw/.

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Bacterial abundance
  • Across cancers
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  • Relative abundance

To explore the relative abundance of a given bacteria ...
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Bacterial diversity
  • Across cancers
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  • Diversity indexes

To retrieve bacterial diversity of each sample and investigate the distribution ...
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Bacterial composition
  • Individual cancer
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  • Composition

To retrieve the bacterial compositions of each sample ...
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Clinical relevance
  • Individual cancer
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  • Clinical relevance

To investigate the associations between bacterial abundance and clinical characteristics...
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Bacterial co-abundance network


  • Individual cancer
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  • Co-abundance network




To retrieve the bacterial co-abundance networks in a given tumor type ...
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Bacteria-human gene network


  • Individual cancer
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  • Network



To obtain mRNAs which expression values are significantly correlated with the abundance of a query bacteria ...
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Bacteria-associated biological function


  • Individual cancer
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  • Biological function



To explore the biological processes which a given bacteria might be involved in ...
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