Abstract
Summary: We present GeoBoost2, a natural language processing (NLP) pipeline for extracting the location of infected hosts for enriching metadata in nucleotide sequences repositories like NCBI’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: 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.
Paper found here: https://academic.oup.com/bioinformatics/article/doi/10.1093/bioinformatics/btaa647/5873583