Showing posts with label computer science. Show all posts
Showing posts with label computer science. Show all posts

Saturday, August 18, 2012

Researchers Hope New Database Becomes Universal Cancer Genomics Tool


Swiss scientists hope that a new online database called “arrayMap” will bring cancer genomics to the desktop, laptop, and tablet computers of pathologists and researchers everywhere. 

The database combines genomic information from three sources: large repositories such as the NCBI Gene Expression Omnibus (GEO) and Cancer Genome Atlas (CGA); journal literature; and submissions from individual investigators. It incorporates more than 42,000 genomic copy number arrays—normal and abnormal DNA comparisons—from 195 cancer types. 

“arrayMap includes a wider range of human cancer copy number samples than any single repository,” said principal investigator Michael Baudis, M.D. Ease of access, visualization, and data manipulation, he added, are top priorities in its ongoing development. 

A product of the University of Zurich Institute for Molecular Life Sciences, where Baudis researches bioinformatics and oncogenomics, arrayMap illustrates the importance of copy number abnormalities (CNA)—dysfunctional DNA gains or losses that visibly lengthen or shorten certain chromosomes—in the diagnosis, staging, and treatment of various malignancies.

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Monday, December 26, 2011

Semantic Web May Be Cancer Information’s Next Step Forward

By Mike Martin for the Journal of the National Cancer Institute


The next big thing on the Web—which World Wide Web inventor Tim Berners-Lee nicknamed “Web 3.0,” or the Semantic Web—may also be the next milestone in cancer information.

Already deployed in the U.S. census, the catalog of electronics retailer Best Buy, and Facebook pages, Semantic Web technology could give rise to “a killer app that allows the clinical oncologist to access, integrate, and analyze drug and genomics data, medical records, and other cancer-related information to enhance care and efficiency,” said Kei-Hoi Cheung, Ph.D., an associate professor at the Yale University School of Medicine Center for Medical Informatics.


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Rewriting the Mathematics of Tumor Growth

By Mike Martin for the Journal of the National Cancer Institute

A new theory about tumor growth makes oncology look a little like cosmology. Just as the universe accelerates as it expands, tumors become malignant at an accelerating speed, according to a team of scientists who have been probing the mathematics of tumor growth.

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New Algorithm may help Data Centers Better Control Power Costs

by Mike Martin for HPC Source


Data centers can get more green with less power consumption thanks to a novel yet powerful algorithm that keeps power costs down and paying customers happy. 

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Modifying Google's MapReduce to Increase GPU Cluster Computing

by Mike Martin for HPC Source


A modified version of MapReduce—Google’s patented program for distributed and cluster computing—harnesses the power of graphics processing units (GPU) for large-scale, high-performance applications, claim University of California, Davis computer science researchers. 

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For Storing Web 3.0, HBase has the Edge


by Mike Martin for HPC Source

A storage system modeled after Google's Big Table has the edge in data management for cloud computing and next-gen Internet users, researchers claim. 

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