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A major gene for grain cadmium accumulation in soybean (Glycine max [L] Merr.)
Eduardo Rodriguez Benitez1, Makita Hajika1, Tetsuya Yamada1, Koji Takahashi1 and Nobuhiko Oki1. NATIONAL AGRICULTURE AND FOOD RESEARCH ORGANIZATION (NARO), 1National Institute of Crop Science (NICS),
Quantitative Trait Loci (QTL) analyses were conducted in a population derived from a cross of varieties which differ in their seed Cd accumulation. Results suggested that seed Cd accumulation might be controlled by one major gene
DNA polymorphism in the pepper-Phytophthora capsici pathosystem
Cristina Fernández-Otero1,2, Jesús Moreno-González1, and James P. Prince2. XUNTA DE GALICIA- CSUF
Phytophthora capsici is an important soilborne pathogen that produces a devastating disease on many crop species, including pepper. To analyze DNA polymorphism in the P. capsici-pepper pathosystem, six C. annuum lines with various degrees of resistance to P. capsici: Padrón, Couto,CM334,PI201234, SP-11 and JEP; and two P. capsici isolates,GSP1-1 and Ppc3, selected for different levels of virulence, were tested with a variety of molecular markers
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. European Bioinformatics Institute (EBI), Cambridge, United Kingdom; Cold Spring Harbor Laboratory, Cold Spring Harbor, USA; NYU School of Medicine, New York, USA; OICR Toronto, Canada
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.
Evaluation of a Novel Approach for the Measurement of RNA Quality
Timothy Wilkes; Alison Devonshire; Carole Foy. LGC Limited
The potential medical applications of microarrays have generated much interest, within the biomedical community. Numerous potential sources of variation have raised concerns regarding assay consistency and data quality. Previous studies have highlighted RNA integrity as having a major effect on data quality. We describe here a comparison of the performance characteristics of the Agilent (Bioanalyser) and Lab901 (Screen Tape System) platforms, and their capacity to determine sample RNA integrity.
Differential metabolic response of tomato hybrids to herbivory
Raghava T, Puja Ravikumar, Rajendra Hegde, Anil Kush. Vittal Mallya Scientific Research foundation, Bangalore, INDIA
In this study we have documented the HIPVs produced by different plant organs in three agronomically important Lycopersicon esculentem (tomato) cultivars in the event of herbivory. The nocturnal and diurnal feeding of third instar Spodoptera littura larvae induces characteristic VOCs mainly terpenes, in all the three hybrids viz., All Rounder, Shaktiman and Lakshmi.
A Web Interface for Automatic Microarray Analysis
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasnogor. Nottingham University
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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