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Methods for Measuring Geodiversity in Large Overhead Imagery Datasets
Presenter:

Aaron Wesley

Date:

02-11-2021

Time:

3:30pm-4:30pm

Location:

Zoom

This research introduces some of the first geo-computational methods to address a key gap in the artificial intelligence (AI) and big data literature as it relates to the geosciences and remote sensing: the lack of understanding of the global feature representativeness of labels in large remotely-sensed imagery (RSI) datasets. Issues of data fairness, heterogeneity and

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The Genescape Allele Catalog Development for Precise Identification of Causative SNPs
Presenter:

Yen On Chan

Date:

02-04-2021

Time:

3:30PM-4:30PM

Location:

Zoom

Next-generation sequencing (NGS) has become more popular in the modern-day. Large amounts of next-generation resequencing data have been generated and are available online for various organisms including soybeans. However, current genome-wide association study (GWAS) prediction tools simply identify the most significant SNP based on Manhattan plots and still have some limitations in pinpointing the exact

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Building a Population-based Childhood Cancer Data Ecosystem: Challenges and Opportunities for Informatics and Data Science
Presenter:

Dr. Eric Durbin

Date:

01-28-2021

Time:

3:30PM-5:00PM

Location:

Zoom

Childhood cancer is a relatively rare disease diagnosed in over 16,000 U.S. children and adolescents (ages 0 – 19) each year.  While 84% of children with cancer survive 5 years or more, cancer remains the second leading cause of death in children after accidents. Molecular variations make all childhood cancers extraordinarily rare and difficult to study.  The

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Evaluating the effectiveness of transfer-learning with DeepVariant
Presenter:

Jenna Kalleberg

Date:

12-10-2020

Time:

4:00PM-4:30PM

Location:

Zoom

Genomic data has become ubiquitous for bioinformaticians; however, successfully inferring biological meaning depends upon the sensitive prediction of differences between genomes. The most popular method to infer short sequence variants is the Genome Analysis Toolkit (GATK). While GATK provides rigorous guidelines, the methods require knowledge-intensive refinement as software and sequencing technologies advance. A recent advancement

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Tool Development for Analyzing Arrhythmias in Fast Cardiac Magnetic Resonance Scans
Presenter:

Zhijian Luan

Date:

12-10-2020

Time:

3:30PM-4:00PM

Location:

Zoom

Cardiac magnetic resonance (CMR) scanning provides a method to diagnose cardiac disease. For obtaining an effective image, the standard procedure of CMR requires patients to hold their breath during the scanning, but it is difficult for frail patients in clinic. Furthermore, standard CMR imaging depends upon averaging together regular cardiac cycles, which is disrupted by

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