|
Over
the past several years, genomics research has
increasingly embraced high-throughut experimental
technologies such as gene expression microarrays
and SNP chips. On the one hand, these technologies
allow researchers to easaily obtain thousands
of measurements of biological interest. On the
other hand, the vastness of the resulting data
often makes them difficult to interpret. For
example, these technologies have enabled researchers
to isolate a large set of S. cerevisiae
genes which have a significant modifying effect
on viral replication in infected host cells
(Kushner et al., PNAS 100(26), 2003). However,
trying to elucidate the functional relationships
among these genes, and thus gain insight into
how they impact the virus as they do, can be
a daunting task. I will develop a software system
that exploits the primary biomedical literature
in assisting genomics researchers with such
endeavors.
|
