Abstract
Innovation in computational biology research is predicated on the availability of published methods and computational resources. These resources facilitate the generation of new hypotheses and observations both on the part of the creators and the scientists who use them. These methods and resources include Web servers, databases, and software, both complex and simple, that implement a specific procedure or algorithm. Usually, a resource is maintained by the laboratory in which it was initially developed. We would assert that there is a growing level of frustration among scientists who attempt to use many of these resources and find that they no longer exist or are not properly maintained.
Highlights
Computational Biology Resources Lack Persistence and UsabilityInnovation in computational biology research is predicated on the availability of published methods and computational resources
It is timely to visit this situation in more detail
Innovation in computational biology research is predicated on the availability of published methods and computational resources
Summary
Innovation in computational biology research is predicated on the availability of published methods and computational resources. These resources facilitate the generation of new hypotheses and observations both on the part of the creators and the scientists who use them. These methods and resources include Web servers, databases, and software, both complex and simple, that implement a specific procedure or algorithm. To help us gain a better understanding of the resource situation, we took on two simple experiments: first, a review of the persistence of Web servers, and, second, an experience creating a metaserver—a Web site where users can come and run a variety of methods to compare results.
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