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- W3214877772 abstract "RNA-seq data contains not only host transcriptomes but also non-host information that comprises transcripts from active microbiota in the host cells. Therefore, metatranscriptomics can reveal gene expression of the entire microbial community in a given sample. However, there is no single tool that can simultaneously analyze host-microbiota interactions and to quantify microbiome at the single-cell level, particularly for users with limited expertise of bioinformatics. Here, we developed a novel software program that can comprehensively and synergistically analyze gene expression of the host and microbiome as well as their association using bulk and single-cell RNA-seq data. Our pipeline, named Meta-Transcriptome Detector (MTD), can identify and quantify microbiome extensively, including viruses, bacteria, protozoa, fungi, plasmids, and vectors. MTD is easy to install and is user-friendly. This novel software program empowers researchers to study the interactions between microbiota and the host by analyzing gene expressions and pathways, which provides further insights into host responses to microorganisms." @default.
- W3214877772 created "2021-12-06" @default.
- W3214877772 creator A5012536969 @default.
- W3214877772 creator A5020018633 @default.
- W3214877772 creator A5025460672 @default.
- W3214877772 date "2021-11-19" @default.
- W3214877772 modified "2023-10-16" @default.
- W3214877772 title "Meta-Transcriptome Detector (MTD): a novel pipeline for metatranscriptome analysis of bulk and single-cell RNAseq data" @default.
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- W3214877772 doi "https://doi.org/10.1101/2021.11.16.468881" @default.
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