rhonda harrison

 

research interests in computational biology
The advent of megabases of nucleotide sequence, coupled with biotechnological advances that carry out massively paralleled reactions, is bringing genomic research from the Genome Era to the Post-Genome Era. With knowledge of the location and the sequence of an organism’s genes, my bioinformatics research begins to organize them into what will be extremely complex networks that carry out the biological tasks of life.



Landscape profiling of human leukemia regulation

What do geographic and genomic profiles have in common?  Both use height to point researchers to the places where important events are likely to have occurred.  Just as mount Fiji marks the place where a volcanic eruption occured, transcription factor binding sites locations can be determined from statistical analyses of high density probing along the chromosomes of the human genome. 


Regulatory network construction in baker's yeast

This work purports to accomplish this goal in the area of transcription regulation in Saccharomyces cerevisiae. The response of yeast cells to pheromone treatment has been well characterized with respect to the MAP kinase cascade. However, it is not until the advent of genome wide location analysis and high-throughput protein-protein interaction screens that we can begin to form hypotheses regarding the entire interactome. We augment, represent and test these theories as baysian inference networks. The ability to test these hypotheses in silico will reduce the amount of in vivo experimentation needed to verify them.  Submitted.



Characterization of restriction factor binding sites

The holoenzyme containing RNA polymerase II must be recruited to the upstream region of a gene in order to begin synthesizing the mRNA for that gene. It is directed to the start site of transcription by one of its subunits' affinity to a particular DNA sequence, the promoter, that appears upstream from the beginning of the gene. Its subunits and the other transcription factors that have been shown to regulate transcription are observed across the genome as they are expressed and as they bind to the promoter sites they recognize, are our key to the interactions between genes. We propose a compuational method for ascertaining highly likely binding sites in a way that does not require assumptions about site length, the variability within a site or the variability between sites. Bioinformatics. 2002 Oct;18(10):1289-96.