BioInformatics, Genetics
Genetic Engineering:
The technique of removing, modifying, or adding genes to a DNA molecule in order to change the information it contains. By changing this information, genetic engineering changes the type or amount of proteins an organism is capable of producing, thus enabling it to make new substances or perform new functions.
From: usinfo.state.gov/journals/ites/0903/ijee/glossary.htm
A broad term to describe applications of computer technology and information science to organize, interpret, and predict biological structure and function. Bioinformatics is ususally applied in the context of analyzing DNA sequence data.
From : www.plpa.agri.umn.edu/scag1500/definitions.html
Microarray
A technology using a high-density array of nucleic acids, protein, or tissue for examining complex biological interactions simultaneously which are identified by specific location on a slide array. A scanning microscope detects the bound, labeled sample and measures the visualized probe to ascertain the activity of the genes of interest in genotyping, cellular studies, and expression analysis.
From : www.qdots.com/live/render/content.asp
GenePattern
Platform : Requires Java, Perl, Ant, web server
License : Not Specified. Most likely Free, Open Source.
Appears in these categories : BioInformatics, Genetics
License : Not Specified. Most likely Free, Open Source.
Appears in these categories : BioInformatics, Genetics
GenePattern is a flexible analysis platform developed to support multidisciplinary biomedical research. GenePattern puts the power of sophisticated computational methods into the hands of non-programming users. It also provides an environment for rapid development and deployment of new analytic techniques.
Features :
An intuitive user interface provides extensive support for users at all levels of computational sophistication.
Users can chain tasks together to create, encapsulate, reproduce, and share methodologies.
Add your own modules to the GenePattern environment without writing extra code, or choose from a comprehensive repository of analysis modules.
Computational biologists and software developers have programmatic access to all GenePattern modules from any of several programming languages.
Features :
An intuitive user interface provides extensive support for users at all levels of computational sophistication.
Users can chain tasks together to create, encapsulate, reproduce, and share methodologies.
Add your own modules to the GenePattern environment without writing extra code, or choose from a comprehensive repository of analysis modules.
Computational biologists and software developers have programmatic access to all GenePattern modules from any of several programming languages.
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Reference Links
Self-Contained Sequence Representation (SCSR) 
Mani CV Sep 2010.docx 
Mani CV Sep 2010.pdf 
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DBCLS Galaxyではじめるゲノムスケールデータの 