Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Lore Cloots

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Current Opinion in Microbiology|September 28, 2011
Network-based functional modeling of genomics, transcriptomics and metabolism in bacteriaLore Cloots, Kathleen Marchal
Molecular Biosystems|April 18, 2013
PheNetic: network-based interpretation of unstructured gene lists in E. coliDries De Maeyer, Joris Renkens, Lore Cloots, et al.
Bioinformatics (Oxford, England)|April 19, 2013
EPSILON: an eQTL prioritization framework using similarity measures derived from local networksLieven P C Verbeke, Lore Cloots, Piet Demeester, et al.
BMC Genomics|January 22, 2010
Genome-wide detection of predicted non-coding RNAs in Rhizobium etli expressed during free-living and host-associated growth using a high-resolution tiling arrayMaarten Vercruysse, Maarten Fauvart, Lore Cloots, et al.
Microbial Ecology|February 23, 2011
Transcriptome analysis of the rhizosphere bacterium Azospirillum brasilense reveals an extensive auxin responseSandra Van Puyvelde, Lore Cloots, Kristof Engelen, et al.
Molecular Plant-Microbe Interactions : MPMI|August 4, 2011
A comparative transcriptome analysis of Rhizobium etli bacteroids: specific gene expression during symbiotic nongrowthMaarten Vercruysse, Maarten Fauvart, Serge Beullens, et al.
Genome Biology|February 18, 2011
Stress response regulators identified through genome-wide transcriptome analysis of the (p)ppGpp-dependent response in Rhizobium etliMaarten Vercruysse, Maarten Fauvart, Ann Jans, et al.
BMC Bioinformatics|February 24, 2011
Query-based biclustering of gene expression data using Probabilistic Relational ModelsHui Zhao, Lore Cloots, Tim Van den Bulcke, et al.
Molecular Microbiology|August 14, 2012
Identification of a complex genetic network underlying Saccharomyces cerevisiae colony morphologyKarin Voordeckers, Dries De Maeyer, Elisa van der Zande, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Current Opinion in Microbiology|September 28, 2011
Network-based functional modeling of genomics, transcriptomics and metabolism in bacteriaLore Cloots, Kathleen Marchal
Molecular Biosystems|April 18, 2013
PheNetic: network-based interpretation of unstructured gene lists in E. coliDries De Maeyer, Joris Renkens, Lore Cloots, et al.
Bioinformatics (Oxford, England)|April 19, 2013
EPSILON: an eQTL prioritization framework using similarity measures derived from local networksLieven P C Verbeke, Lore Cloots, Piet Demeester, et al.
BMC Genomics|January 22, 2010
Genome-wide detection of predicted non-coding RNAs in Rhizobium etli expressed during free-living and host-associated growth using a high-resolution tiling arrayMaarten Vercruysse, Maarten Fauvart, Lore Cloots, et al.
Microbial Ecology|February 23, 2011
Transcriptome analysis of the rhizosphere bacterium Azospirillum brasilense reveals an extensive auxin responseSandra Van Puyvelde, Lore Cloots, Kristof Engelen, et al.
Molecular Plant-Microbe Interactions : MPMI|August 4, 2011
A comparative transcriptome analysis of Rhizobium etli bacteroids: specific gene expression during symbiotic nongrowthMaarten Vercruysse, Maarten Fauvart, Serge Beullens, et al.
Genome Biology|February 18, 2011
Stress response regulators identified through genome-wide transcriptome analysis of the (p)ppGpp-dependent response in Rhizobium etliMaarten Vercruysse, Maarten Fauvart, Ann Jans, et al.
BMC Bioinformatics|February 24, 2011
Query-based biclustering of gene expression data using Probabilistic Relational ModelsHui Zhao, Lore Cloots, Tim Van den Bulcke, et al.
Molecular Microbiology|August 14, 2012
Identification of a complex genetic network underlying Saccharomyces cerevisiae colony morphologyKarin Voordeckers, Dries De Maeyer, Elisa van der Zande, et al.
Pageof 1