Events

Identification of Spatially Variable Genes

Presenter:

Jinpu Li

Date:

01-26-2023

Time:

4:00PM-4:30PM

Location:

S203 Memorial Union

Invasive species pose a unique threat to native species and habitat through direct and indirect competition of resources. Management of invasive species depends on precise identification of their current range and knowledge of how they spread. This project will utilize Plantescope Satellite Imagery to identify the presence of Callery Pear, an invasive ornamental tree species

Modeling Pyrus calleryana spread in central Missouri using remote sensing and a non-parametric modeling approach

Presenter:

Justin Krohn

Date:

01-26-2023

Time:

3:30PM-4:00PM

Location:

S203 Memorial Union

<strong>Relationships between mortality and respiratory health, medication usage, water disappearance, and climatic conditions in commercial weaning-to-finishing pigs</strong>

Relationships between mortality and respiratory health, medication usage, water disappearance, and climatic conditions in commercial weaning-to-finishing pigs

Presenter:

Caleb Grohmann

Date:

01-19-2023

Time:

3:30PM-4:00PM

Location:

S203 Memorial Union

Mortality in pigs is of paramount economic importance to United States pig producers. According to data compiled by MetaFarms SMS and Pork Checkoff in 2022, 21.2% of pigs die before reaching slaughter, and this statistic has increased, in general, over the last 5 years. Although only 6.8% of these losses are attributed to pigs in the

DeepVariant – TrioTrain: Developing a transfer learning protocol using non-human genomes

Presenter:

Jenna Kalleberg

Date:

12-01-2022

Time:

3:30PM-4:00PM

Location:

2501 Student Center

Genomic data are widely available for investigating phenotypes that impact both human and animal health. Although the investigation of human health often begins with model organisms, genomics technologies and software are often initially developed with only the human genome in mind, severely limiting their comparative applicability. Translational research requires robust systems-focused, or “One Health,” solutions

MUIDSI DISSERTATION DEFENSE – ACCELERATING DATA-DRIVEN DISCOVERY IN TYPE 1 DIABETES: AN INFORMATICS-BASED APPROACH

Presenter:

Erin Tallon

Date:

12-02-2022

Time:

3:00PM-4:00PM

Location:

Zoom

Type 1 diabetes (T1D) is a lifelong chronic disease characterized by the absolute or near-absolute loss of insulin. For affected individuals, management of T1D is an unremitting challenge that involves constant blood glucose monitoring and lifelong administration and titration of exogeneous insulin. Unfortunately, findings from decades of research have not yet comprehensively translated into substantially

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