Target Identification & Validation
Researchers use a variety of methods to investigate disease mechanisms
and decode pathways to find new ways to cure diseases.
Once a potential target for treating a disease has been identified, data has to be generated to prove that the target is disease specific and that its manipulation affects the course of the disease or the severity of the symptoms.
This can be done in animal models or in vitro disease models, both of which require analyzing a large number of samples.
For these analyses, a wide variety of different methods has been used starting
from basic genomic methods, proteomics and cellomics methods to complex phenotypic analyses.
Reproducible, consistent data is pivotal for the results, so a number of the techniques have been automated by Hamilton.