Computational Genomics Reveal Insights into the Biology of Non-model Organisms
Thursday, April 18, 2024
11:00 am - 12:00 pm
Technical advances across many disciplines have synergized to democratize genomic methods across biology. The large scale data generated from genomic methods often require substantial high performance computing resources for their analysis, especially so for so-called “non-model” organisms where existing reference data are limited. Richard Meisel, Ph.D. will describe multiple projects from his lab where they have deployed genomic methods from non-model organisms and the biological insights they have learned from the computational analysis of these data.
About the Speaker
Richard Meisel is an associate professor in the Department of Biology and Biochemistry at the University of Houston. He completed his postdoctoral training with Andy Clark in the Department of Molecular Biology and Genetics at Cornell University. He earned a B.A. in Biology from Cornell and a Ph.D. in Genetics from Penn State University, working with Steve Schaeffer. The Meisel lab uses lab experiments, genomic data, and molecular biology techniques to study a broad range of questions in evolutionary biology. Most of the research addresses how environmental variation and sex differences influence genetic and phenotypic diversity within populations and between species.
- Location
- Online
- Cost
- Free
- Contact