Research Topics
| Sean MooneySummaryAffiliation: Indiana University Country: USA Publications
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Detail Information
Publications
Using RNase sequence specificity to refine the identification of RNA-protein binding regionsXin Wang
Division of Biostatistics Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
BMC Genomics 9:S17. 2008..We present two regions to which multiple amplicons map as examples to demonstrate this approach...
Extensible open source content management systems and frameworks: a solution for many needs of a bioinformatics groupSean D Mooney
Center for Computational Biology and Bioinformatics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, 410 W 10th St, Suite 5000, Indianapolis, IN 46202, USA
Brief Bioinform 9:69-74. 2008..Additionally, some examples of their use in biomedical research are given...- Bioinformatics approaches and resources for single nucleotide polymorphism functional analysisSean Mooney
Center for Computational Biology and Bioinformatics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, 714 N Senate Ave EF 250, Indianapolis, IN 46202, USA
Brief Bioinform 6:44-56. 2005..Additionally, public resources available for SNP identification and characterisation are summarised... - Structural characterization of proteins using residue environmentsSean D Mooney
Department of Genetics, Stanford University, Stanford, California, USA
Proteins 61:741-7. 2005..S-BLEST was able to associate 20 proteins with at least one local structural neighbor and identify the amino acid environments that are most similar between those neighbors... 
Identification of similar regions of protein structures using integrated sequence and structure analysis toolsBrandon Peters
Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
BMC Struct Biol 6:4. 2006..Additionally, we have extended UCSF Chimera and PyMOL to support our web services, so that users can characterize their own proteins of interest...- Identifying viral integration sites using SeqMap 2.0Troy B Hawkins
Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
Bioinformatics 27:720-2. 2011..0, containing analysis tools and both private and shared lab workspaces that facilitate collaboration among researchers. Available at http://seqmap.compbio.iupui.edu/... - MutDB services: interactive structural analysis of mutation dataJessica Dantzer
Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
Nucleic Acids Res 33:W311-4. 2005..The web services portal and plugins can be downloaded from http://www.lifescienceweb.org/ and the web interface is at http://www.mutdb.org/... - Evaluation of features for catalytic residue prediction in novel foldsEunseog Youn
Center for Computational Biology and Bioinformatics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
Protein Sci 16:216-26. 2007..We then applied the method to 2781 coordinate files from the structural genomics target pipeline and identified both highly ranked and highly clustered groups of predicted catalytic residues... - MutDB: annotating human variation with functionally relevant dataSean D Mooney
Department of Genetics, Stanford Medical Informatics, Stanford University, 251 Campus Drive, MSOB X 215 Stanford, CA 94305 5479, USA
Bioinformatics 19:1858-60. 2003..AVAILABILITY: http://mutdb.org/ Supplementary information: http://mutdb.org/about/about.html.. - MutDB: update on development of tools for the biochemical analysis of genetic variationArti Singh
Center for Computational Biology and Bioinfomatics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, 410 W 10th Street, Suite 5000, Indianapolis, IN 46202, USA
Nucleic Acids Res 36:D815-9. 2008.... - Connecting protein interaction data, mutations, and disease using bioinformaticsJake Y Chen
Informatics and Technology Complex IT, Indiana University School of Informatics, IUPUI, Indianapolis, IN, USA
Methods Mol Biol 541:449-61. 2009..As the molecular causes of disease become more understood, models such as these will be useful for identifying candidate variants most likely to be causative... - Genetic nondiscrimination legislation: a critical prerequisite for pharmacogenomics data sharingRuss B Altman
Stanford University, Department of Genetics and Bioengineering, Clark S172, Stanford, CA 94305-5444, USA
Pharmacogenomics 8:519. 2007 - A functional analysis of disease-associated mutations in the androgen receptor geneSean D Mooney
Stanford Medical Informatics, Department of Genetics, Stanford University, MSOB X 215, 251 Campus Drive, Stanford, CA 94305 5479, USA
Nucleic Acids Res 31:e42. 2003..Our method provides a means for assessing the significance of single nucleotide polymorphisms (SNPs) and cancer-associated mutations... - Conformational preferences of substituted prolines in the collagen triple helixSean D Mooney
Stanford Medical Informatics, 251 Campus Drive, MSOB X-215, Stanford University, Stanford, CA 94305-5479, USA
Biopolymers 64:63-71. 2002..The results of our simulations suggest that pyrrolidine ring conformation is mediated by the strength of the gauche effect and classical electrostatic interactions... - Fibroblast growth factor-23 mutants causing familial tumoral calcinosis are differentially processedTobias Larsson
Department of Medical and Molecular Genetics, 975 West Walnut Street, IB130, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
Endocrinology 146:3883-91. 2005..The destabilizing nature of these mutations provides new insight into the pathophysiology of TC and exemplifies the physiological importance of FGF23 in phosphate and vitamin D metabolism... 
Bioinformatic tools for identifying disease gene and SNP candidatesSean D Mooney
Department of Medical and Molecular Genetics, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
Methods Mol Biol 628:307-19. 2010..The intent of this chapter is to provide an introduction to the online tools that are both easy to use and useful...- The functional importance of disease-associated mutationSean D Mooney
Department of Genetics and Stanford Medical Informatics Division, Stanford University, Stanford, California, 94305, USA
BMC Bioinformatics 3:24. 2002..Here we show that disease-associated mutations occur in regions of genes that are conserved, and can identify likely disease-causing mutations... - Gain and loss of phosphorylation sites in human cancerPredrag Radivojac
School of Informatics, Indiana University, 901 East Tenth Street, Bloomington, IN 47408, USA
Bioinformatics 24:i241-7. 2008.... - An integrated approach to inferring gene-disease associations in humansPredrag Radivojac
School of Informatics, Indiana University, Bloomington, Indiana 47408, USA
Proteins 72:1030-7. 2008..Availability: www.phenopred.org... - Extended mutational analyses of FGFR1 in osteoglophonic dysplasiaEmily G Farrow
Am J Med Genet A 140:537-9. 2006