Northwestern Events Calendar

Apr
4
2017

BIDS Tuesdays Seminar Series: Faculty Research Featuring Ramana Davuluri, PhD (Bioinformatics Methods for Identification of Genetics and Epigenetic Variants Associated with Cancer)

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When: Tuesday, April 4, 2017
12:00 PM - 1:00 PM CT

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Contact: Lindsay Jane Varasteh   (312) 503-1997

Group: Center for Biomedical Informatics and Data Science (CBIDS)

Category: Academic

Description:

This talk will discuss how bioinformatics methods developed our group and the results on different cancer datasets. Please see the following published papers for details on some of the results:

• Identification and Validation of Regulatory SNPs that Modulate Transcription Factor Chromatin Binding and Gene Expression in Prostate Cancer

• Identification of Genetic and Epigenetic Variants Associated with Breast Cancer Prognosis by Integrative Bioinformatics Analysis

Apr
11
2017

BIDS Tuesdays Seminar Series: Faculty Research Featuring Nicholas Soulakis, PhD (Healthcare Informatics to Evaluate and Improve Cardiovascular Care)

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When: Tuesday, April 11, 2017
12:00 PM - 1:00 PM CT

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Contact: Lindsay Jane Varasteh   (312) 503-1997

Group: Center for Biomedical Informatics and Data Science (CBIDS)

Category: Academic

Description:

As the US population ages and medical sophistication grows to extend lives, healthcare delivery complexity increases. Constant provider re-assortment on large, multidisciplinary teams, across services, obscures our ability to understand individual provider contribution to patient outcomes. Our work constructs provider collaboration networks from transactional healthcare data to better understand the structure and dynamics of teamwork across patient encounters. This talk will illustrate how to deconstruct and evaluate provider teamwork using the example of guideline-driven care for heart failure patients in the NMH cardiology unit. Although the talk is introductory, examples from the everyday Internet will show we already intuitively understand how this type of data is used in ecommerce and sports, and that healthcare in the near future should be no different.

Material will be drawn from the following papers:

• Visualizing collaborative electronic health record usage for hospitalized patients with heart failure

• An Outcome-Weighted Network Model for Characterizing Collaboration

• Characterizing Teamwork in Cardiovascular Care Outcomes

• Leveraging electronic health record documentation for Failure Mode and Effects Analysis team identification

Apr
18
2017

BIDS Tuesdays Seminar Series: CANCELLED TODAY

CANCELLED

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When: Tuesday, April 18, 2017
12:00 PM - 1:00 PM CT

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Contact: Lindsay Jane Varasteh   (312) 503-1997

Group: Center for Biomedical Informatics and Data Science (CBIDS)

Category: Academic

Description:

The talk is cancelled today due to Computational Research Day.

Apr
25
2017

BIDS Tuesdays Seminar Series: Journal Club Featuring Zhou Zhang (Identification of Methylation Haplotype Blocks Aids in Deconvolution of Heterogeneous Tissue Samples and Tumor Tissue-of-Origin Mapping from Plasma DNA)

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When: Tuesday, April 25, 2017
12:00 PM - 1:00 PM CT

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Contact: Lindsay Jane Varasteh   (312) 503-1997

Group: Center for Biomedical Informatics and Data Science (CBIDS)

Category: Academic

Description:

"Adjacent CpG sites in mammalian genomes can be co-methylated owing to the processivity of methyltransferases or demethylases, yet discordant methylation patterns have also been observed, which are related to stochastic or uncoordinated molecular processes. We focused on a systematic search and investigation of regions in the full human genome that show highly coordinated methylation. We defined 147,888 blocks of tightly coupled CpG sites, called methylation haplotype blocks, after analysis of 61 whole-genome bisulfite sequencing data sets and validation with 101 reduced-representation bisulfite sequencing data sets and 637 methylation array data sets. Using a metric called methylation haplotype load, we performed tissue-specific methylation analysis at the block level. Subsets of informative blocks were further identified for deconvolution of heterogeneous samples. Finally, using methylation haplotypes we demonstrated quantitative estimation of tumor load and tissue-of-origin mapping in the circulating cell-free DNA of 59 patients with lung or colorectal cancer."

Click here to read the full article.

May
2
2017

BIDS Tuesdays Seminar Series: Faculty Research Featuring Denise Scholtens, PhD (HAPO Metabolomics: Flexible Analytic Pipelines for Multidisciplinary Metabolomics Studies)

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When: Tuesday, May 2, 2017
12:00 PM - 1:00 PM CT

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Contact: Lindsay Jane Varasteh   (312) 503-1997

Group: Center for Biomedical Informatics and Data Science (CBIDS)

Category: Academic

Description:

The international, observational Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study, conducted 2000-2006, demonstrated independent, additive associations between maternal glucose and BMI during pregnancy with offspring birth weight and adiposity. Ongoing NIH-funded HAPO Metabolomics projects seek to characterize the maternal and fetal metabolic milieus in four ancestry groups underlying associations between these maternal and newborn phenotypes.   

In this presentation, we will discuss statistical challenges in the analysis of metabolomics data.  Using HAPO Metabolomics for illustrative examples, we will highlight analytic issues and proposed solutions including non-targeted metabolomics data normalization, metabolic network construction and subnetwork optimization, and differential network analysis.  We will also describe strategies for constructing flexible analytic pipelines, including data visualization, that yield interpretable results for multidisciplinary teams