Webinar Nanopore Sequence Data Analysis in CyVerse Discovery Environment – Part 2

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=_t8WdhfGWH4

Oxford Nanopore Technologies (ONT) are revolutionizing DNA sequencing as they allow researchers to go from sample to sequence in hours and sequence extremely long DNA molecules. Consequently, a large number of tools have been developed for base calling, data handling, read mapping, de novo assembly and variant discovery for Nanopore data. These tools often can be difficult to install or use. In addition, users face the computational challenges related to the analysis of very long reads. • In this 2-part CyVerse Focus Forum Webinar series, we survey and quickly demonstrate the different computational tools that are available for Nanopore data analysis in the CyVerse Discovery Environment. Part 1 focuses on NanoDJ, which is a Jupyter notebook integration of tools in CyVerse VICE for simplified manipulation and assembly of DNA sequences produced by Nanopore. It integrates basecalling, read trimming and quality control, simulation and plotting routines with a variety of widely used aligners and assemblers, including procedures for hybrid assembly. • Webinar materials can be found here: https://wiki.cyverse.org/wiki/pages/v... • CyVerse provides powerful infrastructure for computational research involving large datasets and complex analyses. Using CyVerse, teams can overcome scaling and complexity challenges to tackle questions that previously were unapproachable. • *Get Started!* • Create your Account: http://cyver.se/account • Learn about CyVerse: https://cyverse.org • Learn how to use CyVerse: http://cyver.se/learn • *Make CyVerse work for you!* • Use hundreds of bioinformatics apps and manage data in a simple web interface • Launch the Discovery Environment: http://cyver.se/de • *Create a custom cloud-based scientific analysis platform or use a ready-made one for your area of scientific interest.* • Launch Atmosphere: http://cyver.se/atmo • *Securely store data for active analyses or sharing with your collaborators.* • Launch the Data Store: http://cyver.se/datastore • *Access discoverable and reusable datasets with metadata features and functions.* • Launch the Data Commons: http://cyver.se/datacommons • *Exchange, explore, and analyze biological images and their metadata.* • Launch BisQue: http://cyver.se/bisque • *Follow us!* • Twitter: http://cyver.se/twitter • Facebook: http://cyver.se/Facebook • LinkedIn: http://cyver.se/LinkedIn • YouTube: http://cyver.se/YouTube • GitHub: http://cyver.se/GitHub • Still have questions? • Email [email protected] • This material is based upon work supported by the National Science Foundation under Grant Nos. DBI-0735191, DBI-1265383, and DBI-1743442.

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