Dr. Mullikin is director of the NIH Intramural Sequencing Center (NISC) and head of the Comparative Genomics Analysis Unit within the Cancer Genetics and Comparative Genomics Branch of NHGRI. His research group combines bioinformatics tools with high-performance computational power to investigate numerous research opportunities arising from a broad spectrum of collaborative sequencing projects.
Dr. Mullikin and his teams work with investigators to generate feasibility assessments for their sequencing projects and develop plans to achieve their collaborators' sequencing and analysis goals. Types of projects span genomic variation discovery, RNA sequence expression analysis, methylome sequencing, whole-genome sequencing and assembly, microbial sequencing, tumor/normal sequencing and microRNA sequencing.
NISC pursues increased operational efficiencies of high-throughput sequencing, refines existing protocols, implements additional protocols as new sample/experimental types are requested from researchers and continuously expands the value-added data analysis packages available to the research community. Furthermore, NISC monitors developments in rapidly evolving sequencing and informatics technologies, implementing those deemed most appropriate for NISC-generated sequence data produced for collaborating investigators.
Dr. Mullikin's educational background is in electrical engineering, having earned a B.S. and an M.S. from Purdue University, and in physics, with an emphasis in image processing and pattern recognition, having earned a Ph.D. from Delft University of Technology, Netherlands. Dr. Mullikin first began to apply these skills to the genomics field in 1997, just as the Human Genome Project was scaling up. He has been involved in many aspects of the Human Genome Project as well as numerous other genome projects. His Sequence Search and Alignment by Hashing Algorithm (SSAHA) greatly sped up the process of SNP discovery, first for The SNP Consortium Project and later in the International HapMap Project. Dr. Mullikin also developed a whole-genome assembly program, called Phusion. Dr. Mullikin develops and utilizes computer programs to analyze large data sets generated by systematic DNA sequencing projects. A highly skilled computational geneticist, he collaborates extensively with biomedical researchers, developing data analysis methods specifically tailored for each class of project.
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Last Updated: January 6, 2015