Abstract Detail

Conference Wide

Sutherland, Brittany [1].

Introduction to High-Throughput Sequencing: Techniques, Applications, and Analysis.

High-throughput sequencing (HTS) offers a range of new tools for investigating evolutionary and ecological questions in plants. However, designing genome-scale experiments and analyzing large volumes of data can be daunting for beginners. This workshop will give beginning and intermediate users the tools to design and implement their own HTS experiments. In the morning, we will introduce available technologies and protocols for sample preparation and sequencing of both fresh and preserved plant tissues. Participants should come out of this session with the ability to determine which variety of HTS is best for their application as well as a general understanding of the assumptions and limitations underlying HTS data analysis. In the afternoon, we will introduce common bioinformatics tools for data analysis, and participants will have an opportunity to work with data from the Illumina platform using both desktop and high-performance computing (“cluster”) software. We will provide an orientation to different high-throughput sequencing technologies, plastid genome assembly and annotation, and reduced-representation sequencing (RADSeq and related methods). At the end of the afternoon session, participants will have gone through pipelines for both genome assembly and population genetic analysis from HTS data. Throughout this workshop, we will point out sources for free relevant software and guides, and each participant will come out of this workshop with basic pipelines for genome assembly and population genetic analysis. A laptop computer with wireless capability is required. Fees will cover internet access, cluster usage, extension cords for laptops, a coffee break, and lunch.

1 - University of Louisiana at Lafayette

none specified

Presentation Type: Workshop
Session: W06, Introduction to High-Throughput Sequencing: Techniques, Applications, and Analysis
Location: Virtual/Virtual
Date: Wednesday, July 29th, 2020
Time: 12:00 PM
Number: W06001
Abstract ID:11
Candidate for Awards:None

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