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• W2565488022 abstract "Existing workflows for the analysis of multi-omic microbiome datasets are lab-specific and often result in sub-optimal data usage. Here we present IMP, a reproducible and modular pipeline for the integrated and reference-independent analysis of coupled metagenomic and metatranscriptomic data. IMP incorporates robust read preprocessing, iterative co-assembly, analyses of microbial community structure and function, automated binning, as well as genomic signature-based visualizations. The IMP-based data integration strategy enhances data usage, output volume, and output quality as demonstrated using relevant use-cases. Finally, IMP is encapsulated within a user-friendly implementation using Python and Docker. IMP is available at http://r3lab.uni.lu/web/imp/ (MIT license)." @default.
• W2565488022 created "2017-01-06" @default.
• W2565488022 creator A5013502138 @default.
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• W2565488022 creator A5084571997 @default.
• W2565488022 date "2016-12-01" @default.
• W2565488022 modified "2023-10-13" @default.
• W2565488022 title "IMP: a pipeline for reproducible reference-independent integrated metagenomic and metatranscriptomic analyses" @default.
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• W2565488022 doi "https://doi.org/10.1186/s13059-016-1116-8" @default.
• W2565488022 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5159968" @default.
• W2565488022 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27986083" @default.
• W2565488022 hasPublicationYear "2016" @default.
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