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Friday 4 July 2014

PubMed highlight: Literome help you find relevant papers in the "genomic" literature

This tool mines the "genomic" literature for your gene of interest and reports a list of interactions with other genes, specifying also the kind of the relation (inhibit, activate, regulate...). It can also search for a SNP and find phenotypes associated to it by GWAS. You can then filter the results and also report if the listed interactions are actually real or not.

Good stuff to quickly identify relevant papers in the large amount of genomic researches!

Literome: PubMed-scale genomic knowledge base in the cloud

Hoifung Poon, Chris Quirk, Charlie DeZiel and David Heckerman

Abstract
Motivation: Advances in sequencing technology have led to an exponential growth of genomics data, yet it remains a formidable challenge to interpret such data for identifying disease genes and drug targets. There has been increasing interest in adopting a systems approach that incorporates prior knowledge such as gene networks and genotype–phenotype associations. The majority of such knowledge resides in text such as journal publications, which has been undergoing its own exponential growth. It has thus become a significant bottleneck to identify relevant knowledge for genomic interpretation as well as to keep up with new genomics findings.
Results: In the Literome project, we have developed an automatic curation system to extract genomic knowledge from PubMed articles and made this knowledge available in the cloud with a Web site to facilitate browsing, searching and reasoning. Currently, Literome focuses on two types of knowledge most pertinent to genomic medicine: directed genic interactions such as pathways and genotype–phenotype associations. Users can search for interacting genes and the nature of the interactions, as well as diseases and drugs associated with a single nucleotide polymorphism or gene. Users can also search for indirect connections between two entities, e.g. a gene and a disease might be linked because an interacting gene is associated with a related disease.

Availability and implementation: Literome is freely available at literome.azurewebsites.net. Download for non-commercial use is available via Web services.

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