Research Topics
Genomes and GenesSpecies | Yunfeng YangSummaryAffiliation: Oak Ridge National Laboratory Country: USA Publications
|
Detail Information
Publications
Assessment of data processing to improve reliability of microarray experiments using genomic DNA referenceYunfeng Yang
Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
BMC Genomics 9:S5. 2008..Conflicting results have been reported with regard to the reliability of microarray results using this method. To explain it, we hypothesize that data processing is a critical element that impacts the data quality...
Snapshot of iron response in Shewanella oneidensis by gene network reconstructionYunfeng Yang
Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
BMC Genomics 10:131. 2009..In this work, we integrate physiological, transcriptomics and genetic approaches to delineate the iron response of S. oneidensis...
Characterization of the Shewanella oneidensis Fur gene: roles in iron and acid tolerance responseYunfeng Yang
Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
BMC Genomics 9:S11. 2008..In many bacterial species, coordinate regulation of iron homeostasis depends on the protein product of a Fur gene. Fur also plays roles in virulence, acid tolerance, redox-stress responses, flagella chemotaxis and metabolic pathways...
Cellular response of Shewanella oneidensis to strontium stressSteven D Brown
Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
Appl Environ Microbiol 72:890-900. 2006....
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theoryFeng Luo
Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
BMC Bioinformatics 8:299. 2007....
Use of genomic DNA as reference in DNA microarraysYunfeng Yang
Biosciences Division, Oak Ridge National Laboratory, TN, Oak Ridge, USA
Methods Mol Biol 544:439-50. 2009..In addition, notes are provided to help the readers to obtain optimal results using the procedure...
Application of random matrix theory to microarray data for discovering functional gene modulesFeng Luo
Department of Computer Science, Clemson University, 100 McAdams Hall, Clemson, South Carolina 29634, USA
Phys Rev E Stat Nonlin Soft Matter Phys 73:031924. 2006..This transition is directly related to the structural change of the gene expression network from a global network to a network of isolated modules...
