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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Literome: PubMed-scale genomic knowledge base in the cloud.

Hoifung Poon1, Chris Quirk1, Charlie DeZiel1

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Summary
This summary is machine-generated.

The Literome project automatically extracts genomic knowledge from publications, aiding disease gene discovery. This system helps researchers navigate complex genetic information for drug targets and understanding disease associations.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomics data is growing exponentially, posing challenges for disease gene and drug target identification.
  • Systems biology approaches integrating prior knowledge like gene networks are increasingly important.
  • Vast amounts of genomic knowledge are locked in text, hindering efficient interpretation.

Purpose of the Study:

  • To develop an automated system for extracting and organizing genomic knowledge from scientific literature.
  • To create a cloud-based resource for accessing and analyzing curated genomic information.
  • To facilitate genomic interpretation by providing tools for searching gene interactions and genotype-phenotype associations.

Main Methods:

  • Developed an automatic curation system to process PubMed articles.
  • Implemented a cloud-based Web site for knowledge browsing, searching, and reasoning.
  • Focused on extracting directed genic interactions (pathways) and genotype-phenotype associations.

Main Results:

  • The Literome system extracts and organizes key genomic knowledge, including gene interactions and genotype-phenotype data.
  • Users can search for direct and indirect relationships between genes, diseases, and drugs.
  • The platform supports searching for associations with single nucleotide polymorphisms (SNPs).

Conclusions:

  • Literome provides a valuable resource for researchers in genomic medicine.
  • Automated knowledge extraction accelerates the interpretation of complex genomic data.
  • The system facilitates the identification of disease genes and potential drug targets.