SUSHI: An exquisite recipe for fully documented, reproducible and reusable NGS data analysis
Many next-generation sequencing (NGS) data analysis frameworks exist, from Galaxy to bpipe. However, Hatakeyama et al. at the University of Zürich noted a distinct lack of a framework that 1. offers both web-based and scripting options and 2. “puts an emphasis on having a human-readable and portable file-based representation of the meta-information and associated data.” In response, the researchers created SUSHI (Support Users for SHell-script Integration). They conclude that “[i]n one solution, SUSHI provides at the same time fully documented, high level NGS analysis tools to biologists and an easy to administer, reproducible approach for large and complicated NGS data to bioinformaticians.”
