SUSHI: an exquisite recipe for fully documented, reproducible and reusable NGS data analysis

@inproceedings{Hatakeyama2016SUSHIAE,
  title={SUSHI: an exquisite recipe for fully documented, reproducible and reusable NGS data analysis},
  author={Masaomi Hatakeyama and Lennart Opitz and Giancarlo Russo and Weihong Qi and Ralph Schlapbach and Hubert Rehrauer},
  booktitle={BMC Bioinformatics},
  year={2016}
}
Next generation sequencing (NGS) produces massive datasets consisting of billions of reads and up to thousands of samples. Subsequent bioinformatic analysis is typically done with the help of open source tools, where each application performs a single step towards the final result. This situation leaves the bioinformaticians with the tasks to combine the tools, manage the data files and meta-information, document the analysis, and ensure reproducibility. We present SUSHI, an agile data analysis… CONTINUE READING
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