Ono Pharmaceutical Selects Genedata Expressionist for Mass Spectrometry
News Feb 10, 2013
Genedata, a leading provider of advanced software solutions for drug discovery and life science research, has announced that Ono Pharmaceutical Co., Ltd.. (Ono) extended its Genedata collaboration with a license of Genedata Expressionist for Mass Spectrometry. Ono is a leading R&D-oriented international pharmaceutical company, which provides treatments for oncological and cardiovascular diseases. The Genedata Expressionist system, an enterprise and comprehensive platform for omics data management, will be used by Ono to further strengthen its targeted proteomics and metabolomics research.
"Our daily research demands accurate mass profiling analysis as well as powerful MRM capabilities for effective quantitative analysis," noted a spokesperson for the Tsukuba Research Institute at Ono. "Genedata Expressionist for Mass Spectrometry supports our proteomics and metabolomics research with a sophisticated data analysis platform that can process chromatograms ranging from 2MB to over 1GB. And, the system's ability to integrate data from a variety of instruments is a valuable benefit to us. Finally, with Genedata Expressionist we can rely on superior algorithms that generate clinically relevant biomarkers supporting efficient research processes."
Experimental designs of molecular profiling studies in the life sciences are continually growing in complexity and size. Genedata Expressionist analyzes and manages genomic, transcriptomics, proteomics, metabolomics, and epigenomics data from leading technologies including next-generation sequencing, high-density microarrays, RT-PCR, and other genomic tools. Additionally, Genedata Expressionist enables integrated analysis and management of all major mass spectrometry (MS) profiling applications including a comprehensive solution for proteomic, metabolomics, and lipidomics data from all major MS technologies. With robust support of MRM data, the system's innovative capabilities include:
"We are proud of our collaboration with Ono, one of the world's leading pharmaceutical companies providing innovative drug therapies," said Dr. Othmar Pfannes, CEO of Genedata. "With Genedata Expressionist and its support of innovative technologies such as MS and next-generation sequencing, we provide an integrative computational platform that supports customers such as Ono who are pioneering novel therapies. And, we are committed to continuous innovation by expanding the scope Genedata Expressionist applications in areas such as molecular diagnostics and personalized healthcare."
Algorithm Speeds Up Medical Image Analysis 1000 TimesNews
Medical image registration is a common technique that involves overlaying two images, such as magnetic resonance imaging (MRI) scans, to compare and analyze anatomical differences in great detail. Researchers have described a machine-learning algorithm that can register brain scans and other 3-D images more than 1,000 times more quickly using novel learning techniques.
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.
Towards Personalized Medicine: One Type of Data is Not EnoughNews
To understand the biology of diseased organs researchers use different types of molecular data. One of the biggest computational challenges at the moment is integrating these multiple data types. A new computational method jointly analyses different types of molecular data and disentangles the sources of disease variability to guide personalized treatment.READ MORE