@ARTICLE{Uzun2012,
  author = {Uzun, Alper and Laliberte, Alyse and Parker, Jeremy and Andrew, Caroline
	and Winterrowd, Emily and Sharma, Surendra and Istrail, Sorin and
	Padbury, James F.},
  title = {dbPTB: a database for preterm birth},
  journal = {Database (Oxford)},
  year = {2012},
  volume = {2012},
  pages = {bar069},
  abstract = {Genome-wide association studies (GWAS) query the entire genome in
	a hypothesis-free, unbiased manner. Since they have the potential
	for identifying novel genetic variants, they have become a very popular
	approach to the investigation of complex diseases. Nonetheless, since
	the success of the GWAS approach varies widely, the identification
	of genetic variants for complex diseases remains a difficult problem.
	We developed a novel bioinformatics approach to identify the nominal
	genetic variants associated with complex diseases. To test the feasibility
	of our approach, we developed a web-based aggregation tool to organize
	the genes, genetic variations and pathways involved in preterm birth.
	We used semantic data mining to extract all published articles related
	to preterm birth. All articles were reviewed by a team of curators.
	Genes identified from public databases and archives of expression
	arrays were aggregated with genes curated from the literature. Pathway
	analysis was used to impute genes from pathways identified in the
	curations. The curated articles and collected genetic information
	form a unique resource for investigators interested in preterm birth.
	The Database for Preterm Birth exemplifies an approach that is generalizable
	to other disorders for which there is evidence of significant genetic
	contributions.},
  doi = {10.1093/database/bar069},
  edition = {2012/02/11},
  owner = {Derek},
  timestamp = {2012.05.08},
  url = {http://www.brown.edu/Research/Istrail_Lab/papers/bar069.pdf},
  category = {Pre-term Labor}
}