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Geneset-based cancer survival analysis: On the non-uniform distributiuon of p-values under the null hypothesis
Esteban Czwan, Benedikt Brors, David Kipling

Although null p-values are assumed to be uniformly distributed in gene expression experiments, the actual distribution often deviates from the assumed distribution. This can incorrectly associate the biology of a geneset with cancer prognosis in geneset-based survival studies. To assess the implications of this, a geneset-based method was developed. This method empirically approximates the distribution of null p-values and tests whether predefined sets of biologically-related genes are associate

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Homology modeling and docking studies of Comamonas testosteroni B-356 biphenyl-2, 3-dioxygenase involved in degradation of polychlorinated biphenyls
M. Saqib Baig and N. Manickam

The three-dimensional model of a-subunit of Biphenyl dioxygenase (BphA) from Comamonas testosteroni B-356 has been constructed. The kinetic parameters of biphenyl compounds were well matched with the docking results. The binding properties of these biphenyl compounds along with identification of critical active site residues could be used for further site-directed mutagenesis experiments in order to identify their role in activity and substrate specificity.

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Homology modeling and docking studies of Comamonas testosteroni B-356 biphenyl-2, 3-dioxygenase involved in degradation of polychlorinated biphenyls
M. Saqib Baig and N. Manickam

The three-dimensional model of a-subunit of Biphenyl dioxygenase (BphA) from Comamonas testosteroni B-356 has been constructed. The kinetic parameters of biphenyl compounds were well matched with the docking results. The binding properties of these biphenyl compounds along with identification of critical active site residues could be used for further site-directed mutagenesis experiments in order to identify their role in activity and substrate specificity.

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Treatment of Plaque Infections and Periodontitis using Stem Cells- A New Prospect
Manoj Hariharan , Naveen Raj

Dental precursor cells are attractive for novel approaches to treat diseases like periodontitis, dental caries or to improve dental pulp healing and the regeneration of craniofacial bone and teeth. These cells are easily accessible and, in contrast to bone-marrow-derived mesenchymal stem cells, are more closely related to dental tissues. This paper gives a short overview of stem cells of dental origin.

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Reactome - a knowledgebase of human biological pathways
Esther E Schmidt, Michael Caudy, David Croft, Bernard de Bono, Phani V Garapati, Gopal Gopinath, Marc Gillespie, Robin Haw, Bijay Jassal, Steven Jupe, Alexander Kanapin, Shahana Mahajan, Lisa Matthews, Bruce May, Gavin O’Kelly, Imre Vastrik, Guanming Wu, Ewan Birney, Peter D'Eustachio, Lincoln Stein

Reactome is a manually curated knowledgebase, created and peer-reviewed by experts in their field. Its robust data model describes life processes ranging from metabolism to signal transduction and the cell cycle. As of release 28, Reactome contains 3700 human proteins in 3200 reactions. Data is cross-referenced to publicly available web-based informatics resources. Reactome features the SkyPainter tool for analysis of high-throughput datasets, and the Mart query and data retrieval tool.

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Adaptive mixture filtering: an alternative to particle filtering?
Jarad Niemi, Mike West

This poster presents adaptive mixture filtering, an improvement on Gaussian sum filters, as an alternative to particle systems for filtering in state-space models.

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Adaptive mixture filtering: an alternative to particle filtering?
Jarad Niemi, Mike West

This poster presents adaptive mixture filtering, an improvement on Gaussian sum filters, as an alternative to particle systems for filtering in state-space models.

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A Web Interface for Automatic Microarray Analysis
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasnogor

DNA-Microarray technology provides a diagnostic tool for studying cancer and genetic diseases, allowing the experimenter to identify disease related genes and predict the tumour type for new cell samples. However, the statistical analysis of microarray data is a time-consuming and error-prone process. To address this problem we have developed a web interface for automatic DNA-microarray analysis, ArrayMining.net, which guides the user through the analysis process and performs automatic parameter

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A modular and stochastic approach to the study of gene circuits using P systems
Romero-Campero FJ, Blakes J, Cao H, Camara M, Krasnogor N.

presented at Genomes to Systems Manchester, UK March 17-19 2008

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What Makes a Good Scientist?
It’s the journey, not just the destination that counts as a scientist when conducting research.
Applying Deep Learning to Drug Discovery
Researchers train deep neural networks to predict the therapeutic use of large number of multiple drugs using gene expression data obtained from high-throughput experiments on human cell lines.
Advancing Protein Visualization
Cryo-EM methods can determine structures of small proteins bound to potential drug candidates.
Gene Expression Controls Revealed
Researchers have modelled every atom in a key part of the process for switching on genes, revealing a whole new area for potential drug targets.
Making Genetic Data Easier to Search
Scripps team streamlines biomedical research by making genetic data easier to search.
Monovar Drills Down Into Cancer Genome
Rice, MD Anderson develop program to ID mutations in single cancer cells.
It’s Now Easier To Go With The Flow
Rice University tool simplifies comparison of flow cytometry data for laboratories.
Making Precision Medicine a Reality
Researchers are one step closer to understanding the genetic and biological basis of diseases like cancer, diabetes, Alzheimer’s and rheumatoid arthritis – and identifying new drug targets and therapies.
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