NGS Bioinformatics: Making Sense of Your Small RNA-Seq Data
Explore other webinars
NGS Bioinformatics
Making Sense of Your Small RNA-Seq Data
45 minutes + live Q&A
Featured Speakers
Key Questions We Will Answer
- The role of bioinformatics in small RNA sequencing analysis.
- The steps and tools used for building small RNA analysis pipelines.
- The different data sets that are generated and used during the analysis pipelines.
- Examining small RNA composition detected in different liquid biopsy samples.
- Gaining exposure to statistical tools used for characterizing biological data.
Abstract
Next Generation Sequencing (NGS) is a powerful technology used to profile the small RNA composition in liquid biopsies by producing large sets of sequencing reads. The challenge with this technology is the large amount of data produced, making it difficult to manually identify and measure the small RNA biotypes. To overcome this problem, bioinformatic tools with various functions such as quality filtering, adapter trimming, and read mapping are combined into a pipeline to convert the sequences into a format that is more comprehensive. Bioinformatics also incorporates other tools that can be used to compare different RNA biotypes in a sample or between samples. During this webinar, we will discuss the inputs, outputs, and parameters needed to analyze the small RNA composition in liquid biopsy samples. This helps to explore the roles that small RNAs can play as biomarkers in various diseases and health conditions. Register for FREE to learn more!
About the Speakers
1) Enaam Merchant
Enaam Merchant earned her Bachelor of Science in Biochemistry and Molecular Biology (Honors) at Trent University and her Masters in Bioinformatics from the University of Guelph. Her area of interest involves studying proteins and RNA functions in diseased and healthy conditions and analyzing the contrasts of microbiome compositions from different environments and locations. In her early career, Enaam focused on training machine learning models to help characterize intrinsically disordered protein dehydrins. At Norgen, she focuses on developing and improving bioinformatic pipelines to study different aspects of RNA biotypes. In addition to this, she interacts with clients to develop specialized scripts and visualizations to suit customer needs.
2) Veronica Sansotta
Veronica Sansotta earned her Bachelor of Science in Medical Sciences with a Minor in French Studies (Honors) from Brock University and her Masters in Data Science Analytics from the University of Calgary. Her areas of interest lie in mathematics, data visualization, statistics and machine learning techniques. Veronica plays an integral role at Norgen developing new scripts to process next generation sequencing (NGS) data and contributes by providing new tools and enhanced methods to streamline analysis workflows.
Join Enaam and Veronica on Wednesday, October 12th at 10:30 AM or 1:30 PM ET to learn about NGS bioinformatics and how to make sense of your small RNA-seq data!