Ken Jones, PhD
Assistant Research Professor, Department of Biochemistry and Molecular Genetics
Co-Director, Biostatistics and Bioinformatics Shared Resource, University of Colorado Cancer Center
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Research Interests
As a population geneticist/genomicist, I have successfully completed projects involving a diverse array of taxa including bacteria, fungi, plants, vertebrates, and invertebrates. Through recent projects, I am attempting to uncover the root causes of individual responses to perturbations in their environment using a combination of high-throughput sequencing and traditional genomic approaches (i.e., ecological/environmental genomics). In addition to my own research, a major component of my current position at the University of Colorado Medical School is to collaborate with other researchers, where I assist in the design, implementation, and analysis of next-generation sequencing data.
Recent and/or on-going collaborations include:
- 454 analyses
MHC diversity
Bacterial/fungal diversity
NEF gene diversity within AIDS patients
- Illumina analyses
SNP analyses to determine: causation of disease, phenotypic variation, population differentiation
Transcription profiling in response to: disease, radiological exposure, heavy metal and/or chemical exposure, gene induction
Hits-Clip analyses to determine regulation of disease
Tzu Lip Phang, PhD
Director, Informatics Educational Support, CCTSI
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Research Interests
My primary research activities include microarray and Next Generation Sequencing data analysis, specializing in developing methods for multivariate time course data and Alternative Splicing detection algorithm. Recently, I have developed the interest in studying long non-coding RNA using deep sequencing technology. I am involved with the Consultation and Data Analysis group (CDA) under the umbrella of Colorado Clinical Translational Science Institute (CCTSI) and UC Cancer Center that serves the general bioinformatics needs for the University of Colorado and the Rocky Mountain regions scientific communities. Our goals are to educate and disseminate knowledge and information regarding high-throughput data analysis.