performing small-n sequencing workflows: approaches to analyzing trio ngs data

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Presenter Autumn Laughbaum has years of experience in implementing and optimizing genetic research workflows across various research organizations. In this webcast, she shares her expertise in investigating small-N NGS data and some tips and tricks for working with your data effectively. Researchers who are new to NGS data analysis will learn techniques commonly utilized in small-N sequencing workflows whereas experienced SVS users will discover more streamlined or "one-off" solutions to complement their advanced processes. The workflow for small-N trio data will cover three main aspects: data preparation, initial investigation, and variant analysis. To effectively showcase this workflow, Autumn will also highlight the online SVS Scripts Repository, which is home to several well-tested and high-quality tools that can become part of your analytic toolbox.

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Autumn Laughbaum, Biostatistician

Performing Small-N Sequencing Workflows: Approaches to Analyzing Trio NGS Data

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Questions during the presentation

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Today’s Agenda

Overview

SNP & Variation Suite (SVS)

SVS Demo

Conclusion

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Workflow Approach: Data Quality Preparation, Initial Investigation, Analysis

Python Interface

Why perform sequence analysis using small families?

Overview

Why perform seq analysis using small families?

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Father Mother

The 3-Part Workflow Approach

SNP & Variation Suite (SVS)

Core Features Packages Core Features Core Features

Powerful Data Management Rich Visualizations Robust Statistics Flexible Easy-to-use

Powerful Data Management Rich Visualizations Robust Statistics Flexible Easy-to-use

Applications Applications

Genotype Analysis DNA sequence analysis CNV Analysis RNA-seq differential expression Family Based Association

Genotype Analysis DNA sequence analysis CNV Analysis RNA-seq differential expression Family Based Association

SNP & Variation Suite (SVS)

Python Interface

Python Interface

SVS Add-On Scripts Repository

SVS Demo

Exome Sequencing

[Poll]

Conclusion

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Questions?? ?

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