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Gaëlle Lelandais

Showing results (1-10 of 40) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|May 6, 2022
Omics Analyses: How to Navigate Through a Constant Data DelugeThomas Denecker, Gaëlle Lelandais
BMC Research Notes|October 6, 2018
Empowering the detection of ChIP-seq "basic peaks" (bPeaks) in small eukaryotic genomes with a web user-interactive interfaceThomas Denecker, Gaëlle Lelandais
Omics : a Journal of Integrative Biology|August 11, 2010
Comparative functional genomics of stress responses in yeastsGaëlle Lelandais, Frédéric Devaux
Methods in Molecular Biology (Clifton, N.J.)|October 21, 2015
ChIPseq in Yeast Species: From Chromatin Immunoprecipitation to High-Throughput Sequencing and Bioinformatics Data AnalysesGaëlle Lelandais, Corinne Blugeon, Jawad Merhej
Comptes Rendus Biologies|August 9, 2011
The evolution of gene expression regulatory networks in yeastsGaëlle Lelandais, Christel Goudot, Frédéric Devaux
BMC Genomics|December 29, 2022
New insights into genome annotation in Podospora anserina through re-exploiting multiple RNA-seq dataGaëlle Lelandais, Damien Remy, Fabienne Malagnac, et al.
Plos One|June 23, 2011
The reconstruction of condition-specific transcriptional modules provides new insights in the evolution of yeast AP-1 proteinsChristel Goudot, Catherine Etchebest, Frédéric Devaux, et al.
Nucleic Acids Research|September 14, 2010
MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesisJean-Christophe Gelly, Mickael Orgeur, Claude Jacq, et al.
In Silico Biology|April 9, 2008
Clustering gene expression data using graph separatorsBangaly Kaba, Nicolas Pinet, Gaëlle Lelandais, et al.
BMC Bioinformatics|April 1, 2004
MiCoViTo: a tool for gene-centric comparison and visualization of yeast transcriptome statesGaëlle Lelandais, Philippe Marc, Pierre Vincens, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Methods in Molecular Biology (Clifton, N.J.)|May 6, 2022
Omics Analyses: How to Navigate Through a Constant Data DelugeThomas Denecker, Gaëlle Lelandais
BMC Research Notes|October 6, 2018
Empowering the detection of ChIP-seq "basic peaks" (bPeaks) in small eukaryotic genomes with a web user-interactive interfaceThomas Denecker, Gaëlle Lelandais
Omics : a Journal of Integrative Biology|August 11, 2010
Comparative functional genomics of stress responses in yeastsGaëlle Lelandais, Frédéric Devaux
Methods in Molecular Biology (Clifton, N.J.)|October 21, 2015
ChIPseq in Yeast Species: From Chromatin Immunoprecipitation to High-Throughput Sequencing and Bioinformatics Data AnalysesGaëlle Lelandais, Corinne Blugeon, Jawad Merhej
Comptes Rendus Biologies|August 9, 2011
The evolution of gene expression regulatory networks in yeastsGaëlle Lelandais, Christel Goudot, Frédéric Devaux
BMC Genomics|December 29, 2022
New insights into genome annotation in Podospora anserina through re-exploiting multiple RNA-seq dataGaëlle Lelandais, Damien Remy, Fabienne Malagnac, et al.
Plos One|June 23, 2011
The reconstruction of condition-specific transcriptional modules provides new insights in the evolution of yeast AP-1 proteinsChristel Goudot, Catherine Etchebest, Frédéric Devaux, et al.
Nucleic Acids Research|September 14, 2010
MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesisJean-Christophe Gelly, Mickael Orgeur, Claude Jacq, et al.
In Silico Biology|April 9, 2008
Clustering gene expression data using graph separatorsBangaly Kaba, Nicolas Pinet, Gaëlle Lelandais, et al.
BMC Bioinformatics|April 1, 2004
MiCoViTo: a tool for gene-centric comparison and visualization of yeast transcriptome statesGaëlle Lelandais, Philippe Marc, Pierre Vincens, et al.
Pageof 4