I joined CPIB in June 2008 as a statistician. My main role is to use time-course transcriptomics data sets and qPCR experiments to infer gene regulatory networks. I am exploring a range of linear modelling techniques to pick out key regulatory genes from the data sets and to liaise with the biologists on the project to identify good targets for gene knock-out and other experiments.
Since the data sets are large, typically including a few thousand differentially expressed genes, I am looking at different ways to cluster the gene sets before applying modeling strategies. I hope that once the genes are clustered into meaningful groups it will be possible to infer relationships between those groups and establish which genes are influencing which others.
Published Work
- Jianyong Sun, Jonathan M. Garibaldi, Kim Kenobi (2012) Robust Bayesian Clustering for Replicated Gene Expression Data. Accepted for publication in IEEE/ACM Transactions on Computational Biology and Bioinformatics
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- Andrew P French, Michael H Wilson, Kim Kenobi, Daniela Dietrich, Ute Voß, Susana Ubeda-Tomas, Tony P Pridmore, Darren M Wells (2012) Identifying biological landmarks using a novel cell measuring image analysis tool: Cell-o-Tape. Plant Methods 8:7
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- Sethuraman VS, French AP, Wells DM, Kenobi K, Pridmore TP (2011) Tissue-Level Segmentation and Tracking of Cells in Growing Plant Roots. Machine Vision and Applications
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- Kenobi K, Dryden IL, Le H (2010) Shape curves and geodesic modelling. Biometrika 7, 567–584
- Holman TJ*, Wilson MH*, Kenobi K*, Dryden IL, Hodgman TC, Wood ATA, Holdsworth MJ (2010) Statistical evaluation of transcriptomic data generated using the Affymetrix one-cycle, two-cycle and IVT-Express RNA labelling protocols with the Arabidopsis ATH1 microarray. Plant Methods 6, 9 [*authors contributed equally.]
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Presented Work
- Systems analysis of lateral root development. At: 5th BBSRC Systems Biology Grant Holders' Workshop 2011 Ute Voβ, Kim Kenobi, Michael Wilson, Mikaël Lucas, Benjamin Péret, Charlie Hodgman, Malcom J. Bennett
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- The CPIB RootAtlas: A Tool For Viewing Integrative Root Systems Biology Data. At: 20th International Conference on Arabidopsis Research - Edinburgh, UK 2009 Wilson MH, Holman TJ, French AP, Stout M, Wells DM, Kenobi K, Bennett MJ, Holdsworth MJ, Pridmore TP, Hodgman TC
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- The Use of Lasso Regression in Inferring Gene Regulatory Networks. At: 20th International Conference on Arabidopsis Research - Edinburgh, UK 2009 Kenobi K, Wood ATA
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