• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 215
  • 89
  • 34
  • 14
  • 14
  • 8
  • 6
  • 6
  • 6
  • 4
  • 4
  • 3
  • 3
  • 3
  • 3
  • Tagged with
  • 458
  • 208
  • 139
  • 132
  • 50
  • 46
  • 43
  • 43
  • 41
  • 41
  • 40
  • 36
  • 35
  • 33
  • 31
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
21

Molecular Investigation of Chloroethene Reductive Dehalogenation by the Mixed Microbial Community KB1

Waller, Alison 23 February 2010 (has links)
Bioaugmentation with Dehalococcoides-containing cultures is a successful technology for the remediation of chlorinated ethene-contaminated roundwater. The overall goal of this research was to identify and characterize genes that are used by a Dehalococcoides-containing culture, KB-1, during degradation of Trichloroethene (TCE) to ethene, via cis-Dichloroethene (cDCE) and vinyl chloride. Firstly, the diversity and dynamics of the microbial populations within KB1 was assessed using 16S rRNA clone libraries and quantitative PCR analyses. Secondly, reductive-dehalogenase-homologous- (RDH) genes in KB1 were identified, sequenced and their transcription compared through RNA-generated RDH cDNA clone libraries. Finally, to elucidate functionally important genes within the community, Shotgun metagenome microarrays were constructed and used to investigate transcription during dechlorination. Results of the phylogenetic analyses indicated that KB1 is a diverse community of microorganisms whose stability is enhanced by functional redundancy within the culture. To fully understand this diverse community of uncultivated microorganisms a metatranscriptome approach was used. Experiments with shotgun metagenome microarrays identified spots which were statistically significantly differentially expressed during dechlorination. These spots were then sequenced, revealing Dehalococcoides and non-Dehalococcoides-genes which are important during dechlorination. These results demonstrated that shotgun microarrays can be constructed without prior sequence knowledge and used to effectively examine differential transcription within an uncultivated community. Subsequently, all of the spots of the array were sequenced, and additional array experiments were conducted. Sequencing identified 24 reductive dehalogenase genes in the culture, and analysis of the microarray results indicated that many of these RDH genes were differentially expressed in response to certain chlorinated compounds. Interspecies interactions were also highlighted as results suggested that non- Dehalococcoides microorganisms provide partial corrinoids which Dehalococcoides salvages to synthesize cobalamin which is essential for reductive dehalogenation. Transcription of CRISPR-associated genes also indicated interaction between phage and other microorganism in the KB1 community. Overall these results provided sequence and transcription information about possible biomarkers for reductive dechlorination by KB1 and can be used for more effective design and monitoring of bioremediation technologies.
22

Contributions to ancestral inference for supercritical banching Processes and high-dimensional data analysis

Hanlon, Bret Michael. January 1900 (has links)
Thesis (Ph.D.)--Cornell University, August, 2009. / Includes bibliographical references (leaves 133-145).
23

Identifying differentially expressed genes in DNA microarray data /

Loo, Lit-Hsin. Kam, Moshe. January 2004 (has links)
Thesis (Ph. D.)--Drexel University, 2004. / Includes abstract and vita. Includes bibliographical references (leaves 112-117).
24

Knowledge discovery in microarray data /

Islam, Rafiqul, January 2004 (has links)
Thesis (M.S.)--Central Connecticut State University, 2004. / Thesis advisor: Daniel T. Larose. " ... in partial fulfillment of the requirements for the degree of Master of Science in Data Mining." Includes bibliographical references (leaves 34-36). Also available via the World Wide Web.
25

Array based integrated DNA identification system for genetic chip application /

Xue, Mei. January 2002 (has links)
Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002. / Includes bibliographical references. Also available in electronic version. Access restricted to campus users.
26

Data analysis for microarray experiment and DNA barcode of life

Yu, Ching-Ray. January 2008 (has links)
Thesis (Ph. D.)--Rutgers University, 2008. / "Graduate Program in Statistics and Biostatistics." Includes bibliographical references (p. 103-110).
27

Dependency and purity in large-scale statistical significance testing a DNA microarray perspective /

Desai, Keyur Hemantkumar. January 2008 (has links)
Thesis (Ph. D.)--Michigan State University. Electrical Engineering, 2008. / Title from PDF t.p. (Proquest, viewed on Aug. 25, 2009) Includes bibliographical references (p. 97-103). Also issued in print.
28

A comparison of genetic microarray analyses : a mixed models approach versus the significance analysis of microarrays /

Stephens, Nathan W. January 2006 (has links) (PDF)
Thesis (M.S.)--Brigham Young University. Dept. of Statistics, 2006. / Includes bibliographical references (p. 83-85).
29

A simulation-based approach for evaluating gene expression analyses /

Pendleton, Carly R. January 2007 (has links) (PDF)
Thesis (M.S.)--Brigham Young University. Dept. of Statistics, 2007. / Includes bibliographical references (p. 65-67).
30

Clustering analysis of microarray gene expression data /

Szeto, Lap Keung. January 2005 (has links) (PDF)
Thesis (M.Phil.)--City University of Hong Kong, 2005. / "Submitted to Department of Computer Engineering and Information Technology in partial fulfillment of the requirements for the degree of Master of Philosophy" Includes bibliographical references (leaves 70-79)

Page generated in 0.0378 seconds