
AbstractSummary: The initial steps in the analysis of next-generation sequencing data can be automated by way of software ‘pipelines’. However, individual components depreciate rapidly because of the evolving technology and analysis methods, often rendering entire versions of production informatics pipelines obsolete. Constructing pipelines from Linux bash commands enables the use of hot swappable modular components as opposed to the more rigid program call wrapping by higher level languages, as implemented in comparable published pipelining systems.Here we present Next Generation Sequencing ANalysis for Enterprises (NGSANE), a Linux-based, high-performance-computing-enabled framework that minimizes overhead for set up and processing of new projects, yet maintains full flexibility of custom scripting when processing raw sequence data.Availability and implementation: Ngsane is implemented in bash and publicly available under BSD (3-Clause) licence via GitHub at https://github.com/BauerLab/ngsane.Contact: Denis.Bauer@csiro.auSupplementary information: Supplementary data are available at Bioinformatics online.
570, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 49 Mathematical sciences, Laboratory, 3102 Bioinformatics and Computational Biology, Automation, 46 Information and Computing Sciences, Humans, 4601 Applied Computing, anzsrc-for: 31 Biological Sciences, Automation, Laboratory, anzsrc-for: 01 Mathematical Sciences, anzsrc-for: 4601 Applied Computing, High-Throughput Nucleotide Sequencing, Applications Notes, 004, Networking and Information Technology R&D (NITRD), anzsrc-for: 06 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 08 Information and Computing Sciences, Software, 31 Biological Sciences
570, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 49 Mathematical sciences, Laboratory, 3102 Bioinformatics and Computational Biology, Automation, 46 Information and Computing Sciences, Humans, 4601 Applied Computing, anzsrc-for: 31 Biological Sciences, Automation, Laboratory, anzsrc-for: 01 Mathematical Sciences, anzsrc-for: 4601 Applied Computing, High-Throughput Nucleotide Sequencing, Applications Notes, 004, Networking and Information Technology R&D (NITRD), anzsrc-for: 06 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 08 Information and Computing Sciences, Software, 31 Biological Sciences
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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