Pathway analysis is widely used in omics studies. Pathway-based data integration and visualization is a critical component of the analysis. To address this need, we recently developed a novel R package called Pathview.
View Article and Find Full Text PDFHexaploid oat ( L., 2 = 6 = 42) is a member of the Poaceae family and has a large genome (∼12.5 Gb) containing 21 chromosome pairs from three ancestral genomes.
View Article and Find Full Text PDFBackground: Visualization software can expose previously undiscovered patterns in genomic data and advance biological science.
Results: The Genoviz Software Development Kit (SDK) is an open source, Java-based framework designed for rapid assembly of visualization software applications for genomics. The Genoviz SDK framework provides a mechanism for incorporating adaptive, dynamic zooming into applications, a desirable feature of genome viewers.
Unlabelled: Experimental techniques that survey an entire genome demand flexible, highly interactive visualization tools that can display new data alongside foundation datasets, such as reference gene annotations. The Integrated Genome Browser (IGB) aims to meet this need. IGB is an open source, desktop graphical display tool implemented in Java that supports real-time zooming and panning through a genome; layout of genomic features and datasets in moveable, adjustable tiers; incremental or genome-scale data loading from remote web servers or local files; and dynamic manipulation of quantitative data via genome graphs.
View Article and Find Full Text PDFNatural ligands for nuclear receptors are believed to activate gene transcription by causing dissociation of corepressors and promoting the association of coactivator proteins. Using multiple biophysical techniques, we find that peptides derived from one of the nuclear receptor interacting motifs of the corepressors nuclear receptor corepressor (NCoR) and silencing mediator of retinoid and thyroid receptors (SMRT) are able to bind the ligand binding domains (LBD) of all three PPAR (peroxisome proliferator activated receptor) subtypes. Using these peptides as tools, we find that ligands designed as selective agonists for PPAR gamma promote the association of coactivator peptides and dissociation of corepressor peptides as expected on PPAR gamma but surprisingly have varied effects on the binding of corepressor peptides to the other PPAR subtypes.
View Article and Find Full Text PDFIn the course of a high throughput screen to search for ligands of peroxisome proliferator activated receptor-gamma (PPARgamma), we identified GW9662 using a competition binding assay against the human ligand binding domain. GW9662 had nanomolar IC(50) versus PPARgamma and was 10- and 600-fold less potent in binding experiments using PPARalpha and PPARdelta, respectively. Pretreatment of all three PPARs with GW9662 resulted in the irreversible loss of ligand binding as assessed by scintillation proximity assay.
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