Browsing by Author "Jung, Jae-Yoon"

Now showing items 1-9 of 9

    • Autworks: a Cross-Disease Network Biology Application for Autism and Related Disorders 

      Nelson, Tristan; Jung, Jae-Yoon; DeLuca, Todd; Hinebaugh, Byron Kent; St Gabriel, Kristian Che; Wall, Dennis Paul Paul (BioMed Central, 2012)
      Background: The genetic etiology of autism is heterogeneous. Multiple disorders share genotypic and phenotypic traits with autism. Network based cross-disorder analysis can aid in the understanding and characterization of ...

    • Cloud Computing for Comparative Genomics with Windows Azure Platform 

      Kim, Insik; Jung, Jae-Yoon; DeLuca, Todd; Nelson, Tristan; Wall, Dennis Paul Paul (Libertas Academica, 2012)
      Cloud computing services have emerged as a cost-effective alternative for cluster systems as the number of genomes and required computation power to analyze them increased in recent years. Here we introduce the Microsoft ...

    • Genetic Networks of Complex Disorders: from a Novel Search Engine for PubMed Article Database 

      Jung, Jae-Yoon; Wall, Dennis Paul (American Medical Informatics Association, 2013)
      Finding genetic risk factors of complex disorders may involve reviewing hundreds of genes or thousands of research articles iteratively, but few tools have been available to facilitate this procedure. In this work, we built ...

    • Genotator: A Disease-Agnostic Tool for Genetic Annotation of Disease 

      Wall, Dennis Paul Paul; Pivovarov, Rimma; Tong, Mark; Jung, Jae-Yoon; Fusaro, Vincent Alfred; DeLuca, Todd; Tonellato, Peter J (BioMed Central, 2010)
      Background: Disease-specific genetic information has been increasing at rapid rates as a consequence of recent improvements and massive cost reductions in sequencing technologies. Numerous systems designed to capture and ...

    • A literature search tool for intelligent extraction of disease-associated genes 

      Jung, Jae-Yoon; DeLuca, Todd F; Nelson, Tristan H; Wall, Dennis P (BMJ Publishing Group, 2014)
      Objective: To extract disorder-associated genes from the scientific literature in PubMed with greater sensitivity for literature-based support than existing methods. Methods: We developed a PubMed query to retrieve ...

    • Multi-Locus Genome-Wide Association Analysis Supports the Role of Glutamatergic Synaptic Transmission in the Etiology of Major Depressive Disorder 

      Lee, Phil Hyoun; Perlis, Roy H.; Jung, Jae-Yoon; Byrne, Enda M.; Haddad, Stephen; Rueckert, Erroll; Siburian, Richie; Mayerfeld, Catherine E.; Heath, Andrew C.; Pergadia, Michele L.; Madden, Pamela A.F.; Boomsma, Dorret I.; Penninx, Brenda W.; Sklar, Pamela; Martin, Nicholas G.; Purcell, Shaun; Smoller, Jordan W; Wray, Naomi R. (Nature Publishing Group, 2012)
      Major depressive disorder (MDD) is a common psychiatric illness characterized by low mood and loss of interest in pleasurable activities. Despite years of effort, recent genome-wide association studies (GWAS) have identified ...

    • Phylogenetically informed logic relationships improve detection of biological network organization 

      Cui, Jike; DeLuca, Todd; Jung, Jae-Yoon; Wall, Dennis Paul Paul (BioMed Central, 2011)
      Background: A "phylogenetic profile" refers to the presence or absence of a gene across a set of organisms, and it has been proven valuable for understanding gene functional relationships and network organization. Despite ...

    • Roundup 2.0: Enabling Comparative Genomics for over 1800 Genomes 

      DeLuca, Todd F.; Cui, Jike; Jung, Jae-Yoon; St. Gabriel, Kristian Che; Wall, Dennis Paul Paul (Oxford University Press, 2012)
      Summary: Roundup is an online database of gene orthologs for over 1800 genomes, including 226 Eukaryota, 1447 Bacteria, 113 Archaea, and 21 Viruses. Orthologs are inferred using the Reciprocal Smallest Distance algorithm. ...

    • Use of Artificial Intelligence to Shorten the Behavioral Diagnosis of Autism 

      Wall, Dennis Paul; Dally, Rebecca; Luyster, Rhiannon; Jung, Jae-Yoon; DeLuca, Todd (Public Library of Science, 2012)
      The Autism Diagnostic Interview-Revised (ADI-R) is one of the most commonly used instruments for assisting in the behavioral diagnosis of autism. The exam consists of 93 questions that must be answered by a care provider ...