Webinar: Evolinc – Identification and Evolutionary Analysis of lncRNA скачать в хорошем качестве

Webinar: Evolinc – Identification and Evolutionary Analysis of lncRNA

In this webinar, we present Evolinc, a two-part set of apps in the CyVerse Discovery Environment (DE). Evolinc-I is designed to make long non-coding RNA (lncRNA) identification easy and reproducible, regardless of the system. Evolinc-II compares such lncRNAs to determine whether they are conserved at the genomic or transcriptomic level in various species. This information is helpful in curating lncRNA populations and identifying promising candidates for functional analysis. More information for this webinar can be found at https://pods.iplantcollaborative.org/... 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.