University of Miami Adds Effective and Efficient Online Tutorial Suites to Bioinformatics Portal

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University of Miami’s Center for Computational Science subscribes to OpenHelix tutorial suites for their online Bioinformatics Integrated Services (iBIS) portal.

Once they find a resource, it is essential we provided them the training needed to effectively use it—and OpenHelix tutorials were the obvious choice.

The Center for Computational Science (CCS) at University of Miami ( and OpenHelix ( announced the integration and availability of over 85 tutorial suites on bioinformatics and genomic resources to the Center’s Bioinformatics Integrated Services (iBIS) portal.

The iBIS portal (, currently in phase one, offers a comprehensive list of genomic databases, protein structure databases, clinical genetics databases, as well as numerous software tools for the analysis of gene expression, regulation, signaling and metabolic pathways, genomics, proteomics, and systems biology. In addition, the portal allows access to a suite of tools and databases available to University of Miami faculty, staff, and students.

With OpenHelix tutorials, iBIS offers a quick and effective way to learn about many of these powerful and popular databases and resources. The narrated tutorials run in just about any browser and show the user how to use the features and functionality of the resources.

“Our mission was to provide a comprehensive, user-friendly, and customizable interface for researchers to find the resource they need,” said Dr. Sawsan Khuri, Bioinformatics Senior Scientist at the Center, “but once they find a resource, it is essential we provided them the training needed to effectively use it—and OpenHelix tutorials were the obvious choice.”

The basic functionality of iBIS is available to all, however access to local software and databases and to the tutorials is limited to those at the University of Miami. Over 80 tutorials, including PowerPoint slides, slide handouts and exercises which can be used as reference material or to build classroom content, can be accessed by others through a subscription at

“It is difficult, and certainly cost prohibitive, for every university to create and provide training on the many critical genomic resources available” said Scott Lathe, Chief Executive Officer of OpenHelix, “the Center found a great solution to their training needs in licensing our content for integration into their portal. We’re certainly proud to be part of the iBIS platform.”

About the Center for Computational Science
The University of Miami Center for Computational Science (CCS) actively engages in interdisciplinary research to solve the complex scientific and technological problems of modern society. The CCS strives for excellence in research, teaching and service covering the fundamental, as well as, applied aspects of computational science.

Faculty and staff at the University of Miami Center for Computational Science (CCS) harness computing power, applied mathematics, and application sciences - such as physics, chemistry, biology, engineering, and earth sciences - to address the most pressing challenges of our generation. With programs in bioinformatics, physical sciences, chemoinformatics, data mining, and data visualization, the Center facilitates collaborative projects between departments and institutes. Engineers and scientists use the burgeoning field of computational science to manage huge volumes of data rapidly and economically to construct and test models of intricate phenomena.

About OpenHelix
OpenHelix, LLC, ( provides a bioinformatics and genomics search and training portal, giving researchers one place to find and learn how to use resources and databases on the web. The OpenHelix Search portal searches hundreds of resources, tutorial suites and other material to direct researchers to the most relevant resources and OpenHelix training materials for their needs. Researchers and institutions can save time, budget and staff resources by leveraging a subscription to nearly 100 online tutorial suites available through the portal. More efficient use of the most relevant resources means quicker and more effective research.

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