Facilitates both the identification and functional analysis of host–pathogen interactions (HPI) for a broad range of pathogens and their hosts. HPIDB 2.0 provides targeted curation, integration with existing HPI data from external sources and tool(s) to predict additional HPI where annotated data is scarce. This unique quality of HPIDB 2.0 ensures that researchers have access to the most comprehensive data set for their system and avoid the time-consuming series of steps required to integrate, standardize and annotate HPI data.
School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ, USA; Institute for Genomics, Biocomputing and Biotechnology, College of Veterinary Medicine, Institute for Genomics, Mississippi State University, Mississippi State, MS, USA; College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA
HPIDB funding source(s)
This work was supported by Agriculture and Food Research Initiative (2015-67015-23271) from the United States Department of Agriculture, National Institute of Food and Agriculture with partial support from National Institutes of Health (P20GM103646).