Unformatted text preview: lities, including new approaches for tackling ever-growing and increasingly complex
data sets and a suitably robust computational infrastructure for housing, accessing and
analysing those data sets (Box 3). In parallel,
investigators will need to become increasingly adept in dealing with this treasure trove of
new information (Box 4). As a better understanding of genome function is gained,
refined computational tools for de novo
prediction of the identity and behaviour of
functional elements should emerge21.
Complementing the computational
detection of functional elements will be
the generation of additional experimental
data by high-throughput methodologies.
One example is the production of fulllength complementary DNA (cDNA)
sequences (see, for example, mgc.nci.nih.gov
and www.fruitfly.org/EST/full.shtml). Major
challenges inherent in programmes to discover genes are the experimental identification and validation of alternate splice forms
and messenger RNAs expressed in a highly
restricted fashion. Even more challenging is
the experimental validatio...
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