The rapid pace of data production in scientific research has required new methods for analytical processing and interpretation. In the area of biology, large volumes of data have been challenging to navigate as they are generated from rapidly developing technologies and systems-level investigations. The discipline of bioinformatics has arisen to manage and analyze complex varieties of biological data. In addition to new hardware and software technologies, productivity within the cross-disciplinary arena of bioinformatics has required strategic considerations of personnel, data management architecture, and organizational support. The bustling range of methods and challenges of bioinformatics serves as a powerful example of how computational ...