Tag: Bioinformatics
Exiguobacterium degradation of polystyrene: Enlisting bacteria in the war against plastic
Polystyrene is a chemically stable recalcitrant plastic that pollutes many natural environments. Unfortunately, few mechanisms can break down this man-made polymer into its naturally occurring components. Research into the polystyrene-digesting capabilities of the bacteria genus Exiguobacterium sp RIT 594 by Dr André Hudson and his team at the Rochester Institute of Technology in New York, USA, has uncovered the specific […]
Making an impact: How Altmetric tells researchers more about their work
Founded in 2011, Altmetric is the data and metrics tool that begins to measure the impact of research from the moment it is published, allowing researchers to see how, why and where their work is being used, discussed and expanded upon. CEO Kathy Christian told us how Altmetric works, why it is so important and who is already using it. […]
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Unsupervised feature extraction applied to bioinformatics
In his new book, Professor Y-h Taguchi, from Chuo University, Tokyo, Japan, takes two classical mathematical techniques, principal component analysis and tensor decomposition, and demonstrates how they can be used to perform feature selection in his cutting-edge research. Both unsupervised learning methods are applied to carry out feature extraction in a wide range of ‘large p small n’ problems. This […]
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Experimental and computational studies of plant ion channels
The yields and nutritional profiles of crops are affected by their intake of nutrients. To understand how plant ion channels uptake and regulate sodium and potassium, Dr Janin Riedelsberger at the Center for Bioinformatics, Simulation and Modeling (CBSM), University of Talca and her collaborators combine computational and experimental approaches. The computational methods are used to model the channel protein’s molecular […]
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Open-source bioinformatic solutions for ‘Big Data’ analysis
Drs Tim Griffin and Pratik Jagtap along with the Galaxy-P team from the University of Minnesota are working to develop workflows on an open source platform for the analysis of multi-omic data. They are currently focusing on using a Galaxy-based framework to investigate the integration of genomic datasets with mass spectrometry-based ‘omics’ data. But in the long term, they aim […]
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