IMP: a pipeline for reproducible reference-independent integrated metagenomic and metatranscriptomic analyses

@inproceedings{Narayanasamy2016IMPAP,
  title={IMP: a pipeline for reproducible reference-independent integrated metagenomic and metatranscriptomic analyses},
  author={Shaman Narayanasamy and Yohan Jarosz and Emilie E. L. Muller and Anna Heintz-Buschart and Malte Herold and Anne Kaysen and Cedric Christian Laczny and Nicol{\'a}s Pinel and Patrick May and Paul Wilmes},
  booktitle={Genome Biology},
  year={2016}
}
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… CONTINUE READING
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