KNIME4NGS: a comprehensive toolbox for next generation sequencing analysis
Author(s) -
Maximilian Hastreiter,
Tim Jeske,
Jonathan Hoser,
Michael Kluge,
Kaarin Ahomaa,
Marie-Sophie Friedl,
Sebastian J. Kopetzky,
Jan D. Quell,
HansWerner Mewes,
Robert Küffner
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx003
Subject(s) - computer science , toolbox , executable , workflow , software , modular design , debugging , software engineering , data mining , database , programming language
Analysis of Next Generation Sequencing (NGS) data requires the processing of large datasets by chaining various tools with complex input and output formats. In order to automate data analysis, we propose to standardize NGS tasks into modular workflows. This simplifies reliable handling and processing of NGS data, and corresponding solutions become substantially more reproducible and easier to maintain. Here, we present a documented, linux-based, toolbox of 42 processing modules that are combined to construct workflows facilitating a variety of tasks such as DNAseq and RNAseq analysis. We also describe important technical extensions. The high throughput executor (HTE) helps to increase the reliability and to reduce manual interventions when processing complex datasets. We also provide a dedicated binary manager that assists users in obtaining the modules' executables and keeping them up to date. As basis for this actively developed toolbox we use the workflow management software KNIME.
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