Browsing Center for Advanced Genomic Technology by Title

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Browsing Center for Advanced Genomic Technology by Title

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  • Isganaitis, Elvira; Jimenez-Chillaron, Jose; Woo, Melissa; Chow, Alice; DeCoste, Jennifer; Vokes, Martha; Liu, Manway; Kasif, Simon; Zavacki, Ann-Marie; Leshan, Rebecca L.; Myers, Martin G.; Patti, Mary-Elizabeth (American Diabetes Association, 2009-2-10)
    OBJECTIVE: To characterize the hormonal milieu and adipose gene expression in response to catch-up growth (CUG), a growth pattern associated with obesity and diabetes risk, in a mouse model of low birth weight (LBW). ...
  • Rachlin, John; Cohen, Dikla Dotan; Cantor, Charles; Kasif, Simon (2006-11-28)
    Network models are a fundamental tool for the visualization and analysis of molecular interactions occurring in biological systems. While broadly illuminating the molecular machinery of the cell, graphical representations ...
  • Dotan-Cohen, Dikla; Letovsky, Stan; Melkman, Avraham A.; Kasif, Simon (Public Library of Science, 2009-4-23)
    BACKGROUND. The traditional approach to studying complex biological networks is based on the identification of interactions between internal components of signaling or metabolic pathways. By comparison, little is known ...
  • Rachlin, John; Ding, Chunming; Cantor, Charles; Kasif, Simon (BioMed Central, 2005-7-25)
    BACKGROUND: Multiplex PCR is a key technology for detecting infectious microorganisms, whole-genome sequencing, forensic analysis, and for enabling flexible yet low-cost genotyping. However, the design of a multiplex PCR ...
  • Anton, Brian P.; Russell, Susan P.; Vertrees, Jason; Kasif, Simon; Raleigh, Elisabeth A.; Limbach, Patrick A.; Roberts, Richard J. (2010-5-14)
    Methylthiotransferases (MTTases) are a closely related family of proteins that perform both radical-S-adenosylmethionine (SAM) mediated sulfur insertion and SAM-dependent methylation to modify nucleic acid or protein targets ...
  • Lee, Soohyun; Kohane, Isaac; Kasif, Simon (BioMed Central, 2005-11-27)
    BACKGROUND: Recent advances in genome sequencing suggest a remarkable conservation in gene content of mammalian organisms. The similarity in gene repertoire present in different organisms has increased interest in studying ...
  • Linghu, Bolan; Snitkin, Evan S; Holloway, Dustin T; Gustafson, Adam M; Xia, Yu; DeLisi, Charles (BioMed Central, 2008-2-25)
    BACKGROUND. Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of knowledge about protein function. The result ...
  • Park, Peter J.; Kong, Sek Won; Tebaldi, Toma; Lai, Weil R.; Kasif, Simon; Kohane, Isaac S. (Oxford University Press, 2009-9-28)
    Motivation: Type 2 diabetes is a chronic metabolic disease that involves both environmental and genetic factors. To understand the genetics of type 2 diabetes and insulin resistance, the DIabetes Genome Anatomy Project ...
  • Rachlin, John; Ding, Chunming; Cantor, Charles; Kasif, Simon (Oxford University Press, 2005-06-27)
    We have developed a web-enabled system called MuPlex that aids researchers in the design of multiplex PCR assays. Multiplex PCR is a key technology for an endless list of applications, including detecting infectious ...
  • Liu, Manway; Liberzon, Arthur; Kong, Sek Won; Lai, Weil R; Park, Peter J; Kohane, Isaac S; Kasif, Simon (Public Library of SCience, 2007-6-15)
    Type 2 diabetes mellitus is a complex disorder associated with multiple genetic, epigenetic, developmental, and environmental factors. Animal models of type 2 diabetes differ based on diet, drug treatment, and gene knockouts, ...
  • Zheng, Yu; Anton, Brian P; Roberts, Richard J; Kasif, Simon (BioMed Central, 2005-10-3)
    BACKGROUND. Microbial genomes contain an abundance of genes with conserved proximity forming clusters on the chromosome. However, the conservation can be a result of many factors such as vertical inheritance, or functional ...
  • Dalgin, Gul S; Alexe, Gabriela; Scanfeld, Daniel; Tamayo, Pablo; Mesirov, Jill P; Ganesan, Shridar; DeLisi, Charles; Bhanot, Gyan (BioMed Central, 2007-8-6)
    BACKGROUND. Clustering analysis of microarray data is often criticized for giving ambiguous results because of sensitivity to data perturbation or clustering techniques used. In this paper, we describe a new method based ...
  • Wu, Chang-Jiun; Cai, Tianxi; Rikova, Klarisa; Merberg, David; Kasif, Simon; Steffen, Martin (Public Library of Science, 2009-11-25)
    BACKGROUND. Aberrant activation of signaling pathways drives many of the fundamental biological processes that accompany tumor initiation and progression. Inappropriate phosphorylation of intermediates in these signaling ...
  • Dotan-Cohen, Dikla; Kasif, Simon; Melkman, Avraham A. (Oxford University Press, 2009-6-3)
    Motivation: There is a growing interest in improving the cluster analysis of expression data by incorporating into it prior knowledge, such as the Gene Ontology (GO) annotations of genes, in order to improve the biological ...
  • Hu, Zhenjun; Ng, David M.; Yamada, Takuji; Chen, Chunnuan; Kawashima, Shuichi; Mellor, Joe; Linghu, Bolan; Kanehisa, Minoru; Stuart, Joshua M.; DeLisi, Charles (Oxford University Press, 2007-07)
    With the integration of the KEGG and Predictome databases as well as two search engines for coexpressed genes/proteins using data sets obtained from the Stanford Microarray Database (SMD) and Gene Expression Omnibus (GEO) ...
  • Hu, Zhenjun; Hung, Jui-Hung; Wang, Yan; Chang, Yi-Chien; Huang, Chia-Ling; Huyck, Matt; DeLisi, Charles (2009-7-1)
    Despite its wide usage in biological databases and applications, the role of the gene ontology (GO) in network analysis is usually limited to functional annotation of genes or gene sets with auxiliary information on ...

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