Population genetics phd thesis ku
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KUFS Published Works
Long-term dynamics of an old-field rodent community. Population genetics phd thesis ku direct-push method of hydrostratigraphic characterization.
Patterns and impacts of woody plant source in an experimentally fragmented old field. Dissertation, Department population genetics phd thesis ku Ecology and Evolutionary Biology.
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University of Kansas, Lawrence, KS. Population genetic and population ecological consequences of crop-wild sunflower hybridization.
A geometric solar radiation model with applications in landscape ecology. Dissertation, Department of Geography. Geomicrobial denitrifying and nitrifying characteristics of a nitrate-contaminated alluvial aquifer, northeastern Kansas.
Thesis, Department of Geology.
Hydrology and geochemistry of an alluvial aquifer near a floodplain population genetics phd thesis ku. University of Kansas, Lawrence. Relations between productivity, climate, and normalized difference vegetation index in the central Great Plains.
The population genetics and genomics of the African Salivarian trypanosomes
Evaluation of an /ib-extended-essay-assessment-criteria-2011.html gradient tracer test in an alluvial aquifer. Dissertation, Department of Geology. Thesis, Department of Biology. Previous 1 2 3 4 5 Lawrence, Kansas Fax Contact Us.
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Aquatic resources cover all biotic element of the aquatic ecosystems, including genetic resources, with actual or potential use or value sensu lato for humanity. One of the main features of living aquatic resources is that they are renewable and their sustainable exploitation relies on an in-depth understanding of the aquatic ecosystems.
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I am a Greek geneticist with background in biology, human population genetics and bioinformatics. My main research interests include the reconstruction of human population history from genetic data, the genetics of complex traits and the development of methods for quantitative analyses.
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N2 - Genome-wide studies, particularly from ancient samples, have substantially expanded our understandingof human evolutionary history. While these are unavoidable,technological and methodological improvements have made it possible to assess theirpotential effect on the data and results. We have implemented and extensively tested a statisticalmethod for estimating contamination from high-throughput sequencing data based on haploidchromosomes Chapter 2.
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