Experts and Doctors on genetic databases in Boston, Massachusetts, United States

Summary

Locale: Boston, Massachusetts, United States
Topic: genetic databases

Top Publications

  1. Buie T, Campbell D, Fuchs G, Furuta G, Levy J, Vandewater J, et al. Evaluation, diagnosis, and treatment of gastrointestinal disorders in individuals with ASDs: a consensus report. Pediatrics. 2010;125 Suppl 1:S1-18 pubmed publisher
    ..For these patients, integration of behavioral and medical care may be most beneficial. Priorities for future research are identified to advance our understanding and management of gastrointestinal disorders in persons with ASDs. ..
  2. Mirotsou M, Dzau V, Pratt R, Weinberg E. Physiological genomics of cardiac disease: quantitative relationships between gene expression and left ventricular hypertrophy. Physiol Genomics. 2006;27:86-94 pubmed
  3. Hu Y, Hines L, Weng H, Zuo D, Rivera M, Richardson A, et al. Analysis of genomic and proteomic data using advanced literature mining. J Proteome Res. 2003;2:405-12 pubmed
    ..Interestingly, this only held true for estrogen receptor (ER) positive tumors, not ER negative. MedGene identified a set of relatively understudied, yet highly expressed genes in ER negative tumors worthy of further examination. ..
  4. Zheng Y, Roberts R, Kasif S. Segmentally variable genes: a new perspective on adaptation. PLoS Biol. 2004;2:E81 pubmed
    ..Discerning their function and identifying their binding partners may offer biologists new insights into the basic mechanisms of adaptation, context-dependent evolution, and the interaction between microbes and their environment. ..
  5. Liu C, Cupples L, Dupuis J. Comparisons of case-selection approaches based on allele sharing and/or disease severity index: application to the GAW14 simulated data. BMC Genet. 2005;6 Suppl 1:S103 pubmed
    ..Moreover, information on disease severity appears to be useful to improve the ability to detect associations between markers and disease loci. ..
  6. Hofer M, Tapia C, Browne T, Mirlacher M, Sauter G, Rubin M. Comprehensive analysis of the expression of the metastasis-associated gene 1 in human neoplastic tissue. Arch Pathol Lab Med. 2006;130:989-96 pubmed
    ..We also found evidence that MTA1 expression is associated with tissue invasion but may not be sufficient for the progression to metastatic stages. ..
  7. Peng S, Alekseyenko A, Larschan E, Kuroda M, Park P. Normalization and experimental design for ChIP-chip data. BMC Bioinformatics. 2007;8:219 pubmed
    ..The proposed normalization technique can correct systematic errors and compensate for the lack of mock control data, thus reducing the experimental cost and producing more accurate results. ..
  8. MacConaill L, Aldred M, Lu X, LaFramboise T. Toward accurate high-throughput SNP genotyping in the presence of inherited copy number variation. BMC Genomics. 2007;8:211 pubmed
    ..Software to perform generalized genotyping from SNP array data is freely available online 1. ..
  9. Meng Y, Lee J, Cheng R, St George Hyslop P, Mayeux R, Farrer L. Association between SORL1 and Alzheimer's disease in a genome-wide study. Neuroreport. 2007;18:1761-4 pubmed
    ..These results provide an independent replication of the association between AD and SORL1. ..

More Information

Publications12

  1. Aryee M, GutiƩrrez Pabello J, Kramnik I, Maiti T, Quackenbush J. An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation). BMC Bioinformatics. 2009;10:409 pubmed publisher
    ..The open-source R package betr is available through Bioconductor. BETR has also been incorporated in the freely-available, open-source MeV software tool available from http://www.tm4.org/mev.html. ..
  2. Yan H, Venkatesan K, Beaver J, Klitgord N, Yildirim M, Hao T, et al. A genome-wide gene function prediction resource for Drosophila melanogaster. PLoS ONE. 2010;5:e12139 pubmed publisher
    ..The resulting resource of prioritized associations between Drosophila genes and their potential functions offers a guide for experimental investigations. ..
  3. Thomas M, Lieberman J, Lal A. Desperately seeking microRNA targets. Nat Struct Mol Biol. 2010;17:1169-74 pubmed publisher
    ..Bioinformatic analysis of over-represented pathways and nodes in protein-DNA interactomes formed from experimental candidate miRNA gene target lists can focus attention on biologically significant target genes. ..