Biomedical research has entered a
period of renewed vigor with the introduction and rapid development of genomic
technologies and next-generation sequencing methods. This research paradigm
produces extremely large datasets that are both difficult to store and
challenging to mine for relevant data. Additionally, the thorough exploration
of such datasets requires more resources, personnel, and multidisciplinary
expertise to properly analyze and interpret the data. As a result, modern
biomedical research practices are increasingly designed to include
multi-laboratory collaborations that effectively distribute the scientific
workload and expand the pool of expertise within a project. The scope of
biomedical research is further complicated by increased efforts in translational
research, which mandates the translation of basic laboratory research results
into the human medical application space, adding to the complexity of potential
collaborations. This increase in multidisciplinary, multi-laboratory, and
biomedical translational research identifies a specific need for formalized
collaboration practices and software applications that support such efforts.
Here, we describe formal technological requirements for such efforts and we
review several software solutions that can effectively improve the
organization, communication, and formalization of collaborations in biomedical
research today.
Source: Collaborative software for
traditional and translational research. Ari E Berman, William K Barnett and
Sean D Mooney (smooney@buckinstitute.org).
Human Genomics 2012, 6:21.
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