Nelson, TristanJung, Jae-YoonDeLuca, ToddHinebaugh, Byron KentSt Gabriel, Kristian CheWall, Dennis Paul2013-10-162012Nelson, Tristan H., Jae-Yoon Jung, Todd F. DeLuca, Byron K. Hinebaugh, Kristian Che St. Gabriel, and Dennis P. Wall. 2012. Autworks: a cross-disease network biology application for autism and related disorders. BMC Medical Genomics 5: 56.1755-8794http://nrs.harvard.edu/urn-3:HUL.InstRepos:11179047Background: 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 the molecular pathology of autism, but there are few tools that enable us to conduct cross-disorder analysis and to visualize the results. Description: We have designed Autworks as a web portal to bring together gene interaction and gene-disease association data on autism to enable network construction, visualization, network comparisons with numerous other related neurological conditions and disorders. Users may examine the structure of gene interactions within a set of disorder-associated genes, compare networks of disorder/disease genes with those of other disorders/diseases, and upload their own sets for comparative analysis. Conclusions: Autworks is a web application that provides an easy-to-use resource for researchers of varied backgrounds to analyze the autism gene network structure within and between disorders.en-USAutismAutistic disorderAutism spectrum disordersAutism geneticsAutism genomicsNetwork biologyNetwork medicineTranslational bioinformaticsProtein-protein interactionsJournal Article2013-10-1610.1186/1755-8794-5-56