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Combining Analysis of DNA in a Crude Virion Extraction with the Analysis of RNA from Infected Leaves to Discover New Virus Genomes
Published on: July 27, 2018
GeoBoost2: a natural languageprocessing pipeline for GenBank metadata enrichment for virus phylogeography
Arjun Magge1,2,3, Davy Weissenbacher3, Karen O'Connor3
1College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.
Summary:
We present GeoBoost2, a natural language-processing pipeline for extracting the location of infected hosts for enriching metadata in nucleotide sequences repositories like National Center of Biotechnology Information's GenBank for downstream analysis including phylogeography and genomic epidemiology. The increasing number of pathogen sequences requires complementary information extraction methods for focused research, including surveillance within countries and between borders. In this article, we describe the enhancements from our earlier release including improvement in end-to-end extraction performance and speed, availability of a fully functional web-interface and state-of-the-art methods for location extraction using deep learning.
Availability And Implementation:
Application is freely available on the web at https://zodo.asu.edu/geoboost2. Source code, usage examples and annotated data for GeoBoost2 is freely available at https://github.com/ZooPhy/geoboost2.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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