High-performance computing service for bioinformatics and data science

Jean-Paul Courneya, Alexa Mayo

Abstract


Despite having an ideal setup in their labs for wet work, researchers often lack the computational infrastructure to analyze the magnitude of data that result from “-omics” experiments. In this innovative project, the library supports analysis of high-throughput data from global molecular profiling experiments by offering a high-performance computer with open source software along with expert bioinformationist support. The audience for this new service is faculty, staff, and students for whom using the university’s large scale, CORE computational resources is not warranted because these resources exceed the needs of smaller projects. In the library’s approach, users are empowered to analyze high-throughput data that they otherwise would not be able to on their own computers. To develop the project, the library’s bioinformationist identified the ideal computing hardware and a group of open source bioinformatics software to provide analysis options for experimental data such as scientific images, sequence reads, and flow cytometry files. To close the loop between learning and practice, the bioinformationist developed self-guided learning materials and workshops or consultations on topics such as the National Center for Biotechnology Information’s BLAST, Bioinformatics on the Cloud, and ImageJ. Researchers apply the data analysis techniques that they learned in the classroom in an ideal computing environment.

This article was selected by the Virtual Projects Advisory Committee of technology experts after an annual call for projects in MLA-FOCUS and announcements to encourage submissions from all types of libraries.


Keywords


Bioinformation; High Performance Computing

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DOI: https://doi.org/10.5195/jmla.2018.512

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Copyright (c) 2018 Jean-Paul Courneya, Alexa Mayo

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