Automated and traceable processing for large-scale high-throughput sequencing facilities

Luca Pireddu, Gianmauro Cuccuru, Luca Lianas, Matteo Vocale, Giorgio Fotia, Gianluigi Zanetti

Abstract


Scaling up production in medium and large high-throughput sequencing facilities presents a number of challenges. As the rate of samples to process increases, manually performing and tracking the center’s operations becomes increasingly difficult, costly and error prone, while processing the massive amounts of data poses significant computational challenges. We present our ongoing work to automate and track all data-related procedures at the CRS4 Sequencing and Genotyping Platform, while integrating state-of-the-art processing technologies such as Hadoop, OMERO, iRODS, and Galaxy into our automated workflows. Currently, the core system is in its testing phase and it is on schedule to be in production use at CRS4 by May 2013. The results thus far obtained are encouraging and the authors are confident that the CRS4 Platform will increase its efficiency and capacity thanks to this system. In the near future, the integration components will be released as as open source software.


Keywords


NGS; automation; bioinformatics; data analysis; high-performance computing

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DOI: http://dx.doi.org/10.14806/ej.19.A.626

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