Biodiversity analysis of metagenomic and metatranscriptomic data acquired from nextgeneration sequencing (NGS) requires following multiple analytic steps, often independent from each other with exception of passing output files of previous step as input for the following. If parameterization of steps following one after another is independent from one another, they may be pipelined. There are three most popular pipelines used for NGS analyses: QIIME, mothur and MetAMOS. In this work we describe our extensions to the latter. One is supplementing MetAMOS' default modes with taxonomic and metabolic biodiversity using metagenomics and metatranscriptomics data and the other provides a web-based interface to run predefined analyses that is easy to integrate with laboratory information management systems.PeerJ PrePrints | https://doi.org/10.7287/peerj.preprints.1706v1 | CC-BY 4.0 Open Access | rec:

Biodiversity analysis of metagenomic and metatranscriptomic data acquired from next-generation sequencing (NGS) requires following multiple analytic steps, often independent from each other with exception of passing output files of previous step as input for the following. If parameterization of steps following one after another is independent from one another, they may be pipelined. There are three most popular pipelines used for NGS analyses: QIIME, mothur and MetAMOS. In this work we describe our extensions to the latter. One is supplementing MetAMOS’ default modes with taxonomic and metabolic biodiversity using metagenomics and metatranscriptomics data and the other provides a web-based interface to run predefined analyses that is easy to integrate with laboratory information management systems.