| In the post-genomic era, any biological scientist must cope with the increasingly large volumes of complex data that is relevant to their research. This is inevitable given the exponential rate of data creation and the ability to expose and share this data via the Internet. A direct consequence of this reality is an increase in pressure on researchers to learn about and use sophisticated data analysis techniques. It is actually the complexity, rather than the volume, of data that makes modern research challenging. Working with large volumes of data is an IT problem that many computer manufacturers can solve, but these hardware solutions - and to a certain extent software solutions - do not necessarily relate to the problem of how complex data may be interpreted by a scientist. |
