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<form style="margin:1px 12px 1px 12px; padding:0px" action="/searchWeb.php" method="post" name="webSearch" id="webSearch"> Search: <select name="searchEngine">
    <option value="phidb">PHIDIAS</option>
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Search: PHIDIAS Phinfo PGBrowser Pacodom: conserved domains Pacodom: proteins
Phigen Phix ----------------------------------- PubMed Google NCBI Protein NCBI
Nucleotide NCBI Genome NCBI Gene for Help

About Introduction Statistics Your PHIDIAS Register or Login Philert Submission
Curated Data Victors BBP (Brucella) Phinfo Phinet HazARD Data Analysis Phigen
Pacodom BLAST Help & Documents Documents FAQs Links Acknowledgements Disclaimer
Contact Us


Welcome to PHIDIAS!

 

PHIDIAS is a web-based database and analysis system that aims to manually
curate, computationally analyze, and address different scientific issues in the
areas of pathogen-host interactions (PHI, or called host-pathogen interactions
or HPI). PHIDIAS has emphasized the study of those pathogens that cause various
infectious diseases in humans and animals.

Some key features about PHIDIAS:

> We have generated a manually curated database, which is called Victors, to
> store and analyze various virulence factors from different pathogens that
> infect humans and animals. The Victors data has now been utilized by different
> groups and projects, including the PATRIC Specialty Genes resource.
> 
> PHIDIAS was initially generated by expanding our internally developed Brucella
> Bioinformatics Portal (BBP). BBP is a valuable resource and portal for
> Brucella researchers around the world.
> 
> As reported in the original PHIDIAS paper, PHIDIAS collects and analyzes
> valuable information related to PHI in different aspects, such as general PHI
> information (Phinfo), PHI network information annotation (Phinet), and
> biohazard information (HazARD).
> 
> Another ongoing PHIDIAS research focus is to explore how ontologies can be
> used to better represent and integrate PHI data. For example, we have
> developed a Brucellosis Ontology (IDOBRU) to represent Brucella and
> brucellosis-related terms and the relations among these terms. Such an
> ontology can be used as a knowledge base to support data integration and
> advanced data analysis.


Citations:

 * For general PHIDIS: Xiang Z, Tian Y, He Y. PHIDIAS: a pathogen-host
   interaction data integration and analysis system. Genome Biology. 2007 Jul
   30;8(7):R150. PMID: 17663773. PMCID: PMC2323235
 * For Victors: Sayers S, Li L, Ong E, Deng S, Fu G, Lin Y, Yang B, Zhang S, Fa
   Z, Zhao B, Xiang Z, Li Y, Zhao Z, Olszewski MA, Chen L, He Y. Victors: a
   web-based knowledge base of virulence factors in human and animal
   pathogens. Nucleic Acid Research. 2019 Jan 8;47(D1):D693-D700. doi:
   10.1093/nar/gky999. PMID: 30365026. PMCID: PMC6324020.
 * For BBP: Xiang Z, Zheng W, He Y. BBP: Brucella genome annotation with
   literature mining and curation. BMC Bioinformatics. 2006 Jul 16;7(1):347.
   PMID: 16842628. PMCID: PMC1539029
 * For HazARD: He Y, Rush HG, Liepman RS, Xiang Z, Colby LA. Pathobiology and
   management of laboratory rodents administered CDC Category A agents.
   Comparative Medicine. 2007. Feb;57(1):18-32. PMID: 17348288.
 * For Brucellosos Ontology: Lin Y, Xiang Z, He Y. Brucellosis Ontology (IDOBRU)
   as an extension of the Infectious Disease Ontology. Journal of Biomedical
   Semantics. 2011 Oct 31;2(1):9. PMID: 22041276. PMCID: PMC3217896.

© 2007-2022 University of Michigan. PHIDIAS data and tools are freely available
for public use.