Gene, Botany, Genetics, Arabidopsis and Genome are his primary areas of study. The concepts of his Gene study are interwoven with issues in Endoplasmic reticulum and Computational biology. Nicholas J. Provart combines subjects such as Normalization, Transcriptome and Hidden Markov model with his study of Computational biology.
His work deals with themes such as Minimum information about a microarray experiment, Microarray databases, C-4 and Graphics, which intersect with Botany. The various areas that Nicholas J. Provart examines in his Arabidopsis study include Caenorhabditis elegans, Saccharomyces cerevisiae, Model organism, Whole genome sequencing and Mutation. His research investigates the link between Genome and topics such as Evolutionary biology that cross with problems in Arabidopsis thaliana, Seed dormancy, Germination, Dormancy and Abiotic stress.
His primary areas of study are Gene, Arabidopsis, Computational biology, Genetics and Transcriptome. Gene expression, Genome, Gene expression profiling, Regulation of gene expression and Transcription factor are among the areas of Gene where he concentrates his study. His study in Arabidopsis is interdisciplinary in nature, drawing from both Arabidopsis thaliana, Function, Botany and Gene regulatory network.
His work on Germination is typically connected to Medicago truncatula as part of general Botany study, connecting several disciplines of science. His studies examine the connections between Computational biology and genetics, as well as such issues in Bioinformatics, with regards to The Arabidopsis Information Resource. Desiccation tolerance is closely connected to Cell biology in his research, which is encompassed under the umbrella topic of Transcriptome.
His primary areas of investigation include Gene, Arabidopsis, Arabidopsis thaliana, Computational biology and Cell biology. Many of his studies involve connections with topics such as Endosperm and Gene. His studies deal with areas such as Interaction network, Leucine-rich repeat, Cell type and Function as well as Arabidopsis.
His Computational biology study combines topics in areas such as Protein structure, Interactome, Protein–protein interaction and Gene family. Nicholas J. Provart has researched Regulation of gene expression in several fields, including Evolutionary biology, Polyploid, Gene regulatory network and Gene expression profiling. His Genome study necessitates a more in-depth grasp of Genetics.
Nicholas J. Provart mostly deals with Gene, Regulation of gene expression, Cell biology, Transcriptome and Evolutionary biology. His Gene study frequently links to related topics such as Endosperm. His Regulation of gene expression study combines topics from a wide range of disciplines, such as Subfunctionalization, Gene regulatory network and Gene expression profiling.
His biological study spans a wide range of topics, including Genome and Candidate gene. His Cell biology research integrates issues from Receptor and Arabidopsis. Transcriptome is a subfield of Genetics that Nicholas J. Provart studies.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
An “Electronic Fluorescent Pictograph” Browser for Exploring and Analyzing Large-Scale Biological Data Sets
Debbie Winter;Ben Vinegar;Hardeep Nahal;Ron Ammar.
PLOS ONE (2007)
Abscisic Acid Inhibits Type 2C Protein Phosphatases via the PYR/PYL Family of START Proteins
Sang-Youl Park;Pauline Fung;Noriyuki Nishimura;Davin R. Jensen.
Expression Profile Matrix of Arabidopsis Transcription Factor Genes Suggests Their Putative Functions in Response to Environmental Stresses
Wenqiong Chen;Nicholas J. Provart;Jane Glazebrook;Fumiaki Katagiri.
The Plant Cell (2002)
The Botany Array Resource: e-Northerns, Expression Angling, and promoter analyses.
Kiana Toufighi;Siobhan M. Brady;Ryan Austin;Eugene Ly.
Plant Journal (2005)
The developmental dynamics of the maize leaf transcriptome
Pinghua Li;Lalit Ponnala;Neeru Gandotra;Lin Wang.
Nature Genetics (2010)
Co-expression tools for plant biology: opportunities for hypothesis generation and caveats
Bjoern Usadel;Takeshi Obayashi;Marek Mutwil;Federico M Giorgi.
Plant Cell and Environment (2009)
Expansion and diversification of the Populus R2R3-MYB family of transcription factors.
Olivia Wilkins;Hardeep Nahal;Justin Foong;Nicholas J. Provart.
Plant Physiology (2009)
NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction
Alex N Nguyen Ba;Anastassia Pogoutse;Nicholas Provart;Alan M Moses.
BMC Bioinformatics (2009)
A Predicted Interactome for Arabidopsis
Jane Geisler-Lee;Nicholas O'Toole;Ron Ammar;Nicholas J. Provart.
Plant Physiology (2007)
Next‐generation mapping of Arabidopsis genes
Ryan S. Austin;Danielle Vidaurre;George Stamatiou;Robert Breit.
Plant Journal (2011)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: