A key objective of the INIA programs is to transform research on causes, prevention, and treatment of alcoholism. Integration of data sets and analytic methods across a broad spectrum of research is critical to success. This INIA UOI Core application is built on the success of several powerful INIA web services and data resources, including GeneNetwork, WebGestalt, and the Ontological Discovery Environment (ODE). However, our aims in this renewal are a direct outgrowth of rapid changes in genomics and neuroscience, in particular, next-generation sequencing. A theme of this core is innovation by integration. The far more pervasive use of web services in neuroscience over the last five years - Allen Brain Atlas, DAVID, ODE, Galaxy, GeneNetwork, GeneWiki, KEGG, and the Neuroscience Information Framework - represents a great research opportunity for our INIA teams. But these resources often have a steep learning curve and are difficult to use together. One of our goals is to assemble these resources together with large new data sets in a context useful to NIAAA researchers. The INIA Translational Web Services core has these aims: (1) Process, analyze, and distribute massive array and next-generation data sets for both INIA consortia;(2) Integrate INIA consortia data sets from rodents, non-human primates, and humans into GeneNetwork and significantly enhance tools for bidirectional translational queries;(3) Provide database support, training, and documentation in bioinformatics, genetics, and next-gen genomic tools to other INIA projects and cores.
This INIA Bioinformatics Core will provide crucial support to both INIAs for data integration. Our special emphasis is on securing and analyzing massive genomic data sets generated using arrays and next generation sequencing systems. We are also building tools to enable much more facile translation of discoveries from animal models of alcoholism to human populations and groups who are at risk.
|Ashbrook, David George; Roy, Snigdha; Clifford, Brittany G et al. (2018) Born to Cry: A Genetic Dissection of Infant Vocalization. Front Behav Neurosci 12:250|
|Ashbrook, D G; Mulligan, M K; Williams, R W (2018) Post-genomic behavioral genetics: From revolution to routine. Genes Brain Behav 17:e12441|
|Delprato, A; Bonheur, B; Algéo, M-P et al. (2018) A quantitative trait locus on chromosome 1 modulates intermale aggression in mice. Genes Brain Behav 17:e12469|
|Lopez, Marcelo F; Miles, Michael F; Williams, Robert W et al. (2017) Variable effects of chronic intermittent ethanol exposure on ethanol drinking in a genetically diverse mouse cohort. Alcohol 58:73-82|
|Delprato, A; Algéo, M-P; Bonheur, B et al. (2017) QTL and systems genetics analysis of mouse grooming and behavioral responses to novelty in an open field. Genes Brain Behav 16:790-799|
|Delprato, Anna; Crusio, Wim E (2017) Genetic Dissection of Variation in Hippocampal Intra- and Infrapyramidal Mossy Fibers in the Mouse. Methods Mol Biol 1488:419-430|
|Porcu, Patrizia; O'Buckley, Todd K; Lopez, Marcelo F et al. (2017) Initial genetic dissection of serum neuroactive steroids following chronic intermittent ethanol across BXD mouse strains. Alcohol 58:107-125|
|van der Vaart, Andrew D; Wolstenholme, Jennifer T; Smith, Maren L et al. (2017) The allostatic impact of chronic ethanol on gene expression: A genetic analysis of chronic intermittent ethanol treatment in the BXD cohort. Alcohol 58:93-106|
|Nimitvilai, Sudarat; Uys, Joachim D; Woodward, John J et al. (2017) Orbitofrontal Neuroadaptations and Cross-Species Synaptic Biomarkers in Heavy-Drinking Macaques. J Neurosci 37:3646-3660|
|Simecek, Petr; Forejt, Jiri; Williams, Robert W et al. (2017) High-Resolution Maps of Mouse Reference Populations. G3 (Bethesda) 7:3427-3434|
Showing the most recent 10 out of 86 publications