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Updated: Apr 19, 2026

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization
Published on: April 14, 2016
A semi-automated workflow for biodiversity data retrieval, cleaning, and quality control
Cherian Mathew1, Anton Güntsch1, Matthias Obst2
1Freie Universität Berlin, Botanic Garden and Botanical Museum Berlin-Dahlem, Berlin, Germany.
Abstract:
The compilation and cleaning of data needed for analyses and prediction of species distributions is a time consuming process requiring a solid understanding of data formats and service APIs provided by biodiversity informatics infrastructures. We designed and implemented a Taverna-based Data Refinement Workflow which integrates taxonomic data retrieval, data cleaning, and data selection into a consistent, standards-based, and effective system hiding the complexity of underlying service infrastructures. The workflow can be freely used both locally and through a web-portal which does not require additional software installations by users.
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