Posts Tagged ‘genomics’

Intermountain Healthcare and Syapse Collaborate to Improve Access to Clinical Genomics for Community Oncologists


ST. GEORGE, Utah & PALO ALTO, Calif.–(BUSINESS WIRE)–Intermountain Healthcare (an internationally recognized not-for-profit system of 22 hospitals, a medical group with over 185 physician clinics, and an affiliated health insurance company) and Syapse (the leading provider of software for bringing omics data into routine medical use) announced today a collaboration to bring genomics-driven precision cancer care to oncologists within the Intermountain system and also worldwide. This new clinical service, Intermountain Cancer Genomics, will provide cost-effective, genomics-driven, personalized treatment planning through easy-to-use software. Read more

New Stanford Genomics Research Center Gets Final Approval

Kyle Gschwend of The Stanford Daily recently reported, “After 18 months of planning, the Dean of the School of Humanities & Sciences, Richard Saller, recently gave final approval for a new center that will fill the need for a unified genomics research center on campus. Led by genetics professor Carlos Bustamante and biology professor Marc Feldman Ph.D. ’69, the new Stanford Center for Computational, Evolutionary and Human Genomics is predicted to improve the University’s reputation in the field, as well as draw top talent to Stanford. While the official University announcement has not yet been made, outgoing School of Medicine Dean Philip Pizzo shared news about the center in his last full newsletter, which was published on Nov. 5. ‘There was a recognition among the administration of how significant and vital it was to support this project and take a risk,’ Saller said.” Read more

Heads Up To Computational Biologists: Go Semantic and Go Further With Your Data

The GO Browse Genomic Data Browser application that took top honors at the recent Tetherless World Constellation hackathon, co-sponsored by Elsevier, should shortly be available as a live demo. It’s on the to-do list for Jim McCusker, the PhD student at TWC and part-time software developer at the Yale University School of Medicine who created the application as a visual way to browse linked medical datasets on the genetics of cancer.

The data sources included comparisons of different cancers based on cell lines curated by the National Cancer Institute. “Basically, it measures the level of gene expression for every gene in the human genome,” says McCusker of the data. “The great thing is you can then do automated differential gene expression, so you can do statistical tests to see what genes are significantly expressed from one cancer to the rest.” GO Browse presents this information in a visual way to show more differentially expressed categories of genes based on cell processes.

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The Semantification of Chemistry

Executive Summary

Chemistry is a central science and the data produced as a consequence is immense. However, much of this data is which makes data integration difficult. In this article, we demonstrate how chemical data can be retrieved from reports, scientific theses and papers or patents and discuss how these sources can be processed using natural language processing techniques and named-entity recognisers to produce chemical data and knowledge expressed in RDF.

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