During the last few decades, advances in molecular biology have allowed the increasingly rapid sequencing of large portions of genomes. The plethora of information, resulting from programmes such as the Human Genome Project, has necessitated the careful storage, organization and indexing of sequence information. This, in turn, has led to the development of numerous sequence databases such as GenBank and EMBL. This article examines how an integrated approach to bioinformatics could help researchers align their work, share data and, ultimately, significantly increase productivity.
CITATION STYLE
Belton, V., & Stewart, T. J. (2002). An Integrated Approach to MCDA. In Multiple Criteria Decision Analysis (pp. 331–343). Springer US. https://doi.org/10.1007/978-1-4615-1495-4_11
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