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{bio,medical} informatics

Saturday, July 01, 2000

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Stanford Medical Informatics Preprint Archive CLEAVER : analyzing microarray data using known biological categories
"Initial efforts in microarray data analysis have focused on clustering methods, but there is increasing interest in the use of traditional classification techniques. We have developed a publicly available web-site to provide investigators easy access to both types of computational tools. Our site can be found at the URL "
Cleaver Classification of Expression Arrays Version 1.0
"The Cleaver (Classification of Expression Array Version 1.0) internet site provides a variety of tools to assist in the analysis of microarray expression data. It provides facilities for visualization, classification, and clustering. All computations are done on the server side; most of the strategies take no longer than five to ten minutes to compute. All strategies ask users to upload a number of data files and conducts calculations on them."

"The site curators will not under any circumstances exam data that is being uploaded unless requested by the user to do so. All data is deleted after 24 hours. The data is viewable by anyone with the right unique directory code – if this is kept private, the data is secure – as our server does not permit surfing of these directories. The Cleaver site otherwise maintains all of the security that the PharmGKB server employs."

[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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