A PubMed-wide associational study of infectious diseases.

ABSTRACT:

Background

Computational discovery is playing an ever-greater role in supporting the processes of knowledge synthesis. A significant proportion of the more than 18 million manuscripts indexed in the PubMed database describe infectious disease syndromes and various infectious agents. This study is the first attempt to integrate online repositories of text-based publications and microbial genome databases in order to explore the dynamics of relationships between pathogens and infectious diseases.

Methodology/principal findings

Herein we demonstrate how the knowledge space of infectious diseases can be computationally represented and quantified, and tracked over time. The knowledge space is explored by mapping of the infectious disease literature, looking at dynamics of literat

SUBMITTER: Sintchenko V 

PROVIDER: S-EPMC2835740 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature