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Synteny and compositional domains in honey bee genomes
Presenter:

Hung Nguyễn

Date:

09-30-2021

Time:

3:30PM-4:00PM

Location:

Zoom

Analysis of synteny, the conservation of gene order between homologs along chromosome segments, is a standard investigative strategy done in many comparative genomic studies to understand genomic conservation and evolution. It allows us to study the evolutionary history between genomes. Conservation of synteny can reflect highly important regions in the genome or critical functional relationships

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A Case-Control based Genomic Analysis of Chronic Obstructive Pulmonary Disease
Presenter:

Anjana Ramnath

Date:

09-16-2021

Time:

3:30PM-4:00PM

Location:

Zoom

Chronic Obstructive Pulmonary Disease (COPD) is a respiratory illness that affects millions of people all over the world. It is a major cause of chronic morbidity and mortality and a serious global public health problem. COPD is the fourth leading cause of death worldwide. Although the environmental causes of COPD which predominantly include cigarette smoking

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Large Scale Study of the Long-Term Effects of COVID-19 Infection Using Aggregated EHR Data
Presenter:

Will Baskett

Date:

09-09-2021

Time:

3:30Pm-4:00PM

Location:

Zoom

COVID-19 is known to have complex multi-system effects but the lasting effects of infection remain poorly understood. With the number of confirmed infections globally surpassing 200 million it is more important than ever to understand the potential long-term implications of COVID-19 infection on patient health. We have created a pipeline to analyze data from over

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FASTAptameR 2.0: A Web Server for Combinatorial Selections Analysis
Presenter:

Skyler Kramer

Date:

09-02-2021

Time:

3:30PM-4:00PM

Location:

Zoom

Combinatorial selection strategies are powerful tools that allow researchers to simulate selective pressures over time on randomized sequence libraries. This is important for lead discovery and optimization and for understanding selection dynamics. Given the evolutionary nature of these experiments, high-fitness sequences will enrich, whereas low-fitness sequences will deplete. These experiments can generate large magnitudes of

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Bioinformatics Research and Collaboration in the Era of Big Data and Precision Medicine
Presenter:

Dr. Zhongming Zhao

Date:

05-06-2021

Time:

3:30pm-5:00pm

Location:

Zoom

As we have entered the precision medicine and big data science era, there are many unmet challenges on identifying the disease related information from large, heterogeneous data, and translating the findings for clinical use. Among these challenges, one is how to effectively identify driver mutations and genes in cancer genomes, especially those with the potential

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