Functional Genomic and Clinical Data Integration
Advancements in genomics, computational biology, and biotechnology are poised to revolutionize biomedical and pharmaceutical research, while raising concerns over privacy of patient’s genetic information. For example, DNA microarrays have enabled biologists to monitor the expression of tens of thousands genes simultaneously from diverse biological samples, such as blood, tumor tissues, etc. Such technologies are overcoming traditional limitations in hypothesis driven research, allowing “discovery” mode and holistic approaches to supplement traditional investigations. Advances in whole genome sequencing technologies have rapidly reduced the cost of sequencing that complete personal genetic information is being offered by commercial startups.
Our experiences providing bioinformatics supports to research scientists at NIEHS supporting the NCI Cancer Family Registry have helped us gain insights in the continued integration of basic genomic and clinical science researches. Together with our knowledge and experiences of biological databases and software tools, we are able to provide consultation to clients who wish to take advantage of functional genomic information and technologies in their integrative research efforts in basic and clinical sciences. These include all stages of biomedical research, including experimental design, data collection, analyses, and interpretation.
Example topics that may be of interests to clients: How to use DNA microarrays to profile different stages or grades of cancer? How to interpret microarray results of differentially expressed genes in terms of biological processes and pathways? What are potential mechanisms of gene regulation for the observed gene expression patterns obtained from DNA microarray? How to integrate data from histopathology, microarray, proteomic, and metabolomic on normal and diseased animal samples?