NGS QC Toolkit: A Toolkit for Quality Control of Next Generation Sequencing Data
National Institute of Plant Genome Research
Abstract
Next generation sequencing (NGS) technologies provide a high-throughput means to generate large amount of sequence data. However, quality control (QC) of sequence data generated from these technologies is extremely important for meaningful downstream analysis. Further, highly efficient and fast processing tools are required to handle the large volume of datasets. Here, we have developed an application, NGS QC Toolkit, for quality check and filtering of high-quality data. This toolkit is a standalone and open source application freely available at http://www.nipgr.res.in/ngsqctoolkit.html. All the tools in the application have been implemented in Perl programming language. The toolkit is comprised of…
Citation impact
- FWCI
- 42.99
- Percentile
- 100%
- References
- 14
Authors
2Topics & keywords
- Perl
- Computer science
- Python (programming language)
- Downstream (manufacturing)
- Data mining
- World Wide Web
- Operating system
- Industry, innovation and infrastructure