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  The MathWorks Releases Bioinformatics Toolbox 2.0

   MATLAB and associated toolboxes enable gene expression intensity determination from microarray images, such as the example shown here. A combination of image processing, signal processing, and statistics are applied to a microarray image to determine spot location, red and green layer intensity values, and intensity ratios. (PRNewsFoto)

NATICK, MA USA
     New Toolbox Features Mass-Spectrometry and Statistical Inference and
  Prediction Capabilities That Enable Faster and More Customized Analysis of
                                     Data

    NATICK, Mass., Nov. 18 /PRNewswire/ -- Addressing the needs of
computational biologists and bioinformatists, The MathWorks today announced
the availability of the Bioinformatics Toolbox 2.0 for MATLAB(R).  Scientists
and researchers can now perform mass-spectrometry data analysis, perform
statistical inference and prediction, view graphs, and conduct enhanced
genomic and proteomic sequence analysis.  With the latest release of its
Bioinformatics Toolbox, The MathWorks brings greater power and versatility to
the biotechnology and pharmaceutical industries, providing more advanced
technology capabilities for drug discovery research, genetic engineering, and
other genomics and proteomics projects.
    (Photo:  http://www.newscom.com/cgi-bin/prnh/20041118/NETH002)
    The Bioinformatics Toolbox 2.0 offers computational biologists and other
research scientists an open and extensible environment.  Most functions are
implemented in the open MATLAB language, enabling users to customize the
algorithms or develop their own.  The new mass-spectrometry data analysis
feature is specifically designed for pre-processing data, including baseline
correction, smoothing, alignment, and re-sampling.  As a result, users can now
perform customized analysis at a faster rate.
    "We have found mass-spectrometry data analysis methods in the
Bioinformatics Toolbox 2.0 allow for easier processing of data using an
efficient, engineering-based approach," said Gil Alterovitz of the
Massachusetts Institute of Technology and the HST-Children's Hospital
Informatics Program. "Previously, we were required to invest extensive time
creating this capability in-house but through collaborative efforts with The
MathWorks, we have found them very responsive to customer needs.  As a result,
the Bioinformatics Toolbox new algorithms have increased our productivity."
    The Bioinformatics Toolbox 2.0 also builds on the classification and
statistical inference and prediction tools in the Statistics Toolbox by
providing several new classification functions and tools for identification of
discriminating features, and visualization of complex data is enhanced with
new graph-viewing functions and manipulation tools that display interaction
maps, hierarchy plots, and pathways.  Additional features of the
Bioinformatics Toolbox 2.0 provide access to specialized visualization tools,
ranging from sequence alignments and microarray principle component plots to
building and interactively viewing and manipulating phylogenetic trees.
    "The Bioinformatics Toolbox 2.0 enables users to gain a better
understanding of data while supporting their efforts to generate cutting-edge
advancements in their fields," said Kristen Amuzzini, biotechnology and
pharmaceutical industry marketing manager, The MathWorks.  "The complex
functions such as mass-spectrometry data analysis and statistical inference
and prediction mean that professionals in this industry can now easily explore
ideas, prototype new algorithms, and build better applications for their
projects."
    In an effort to bring computational biologists, bioinformatists, and other
technical professionals the power and performance they demand in their
applications, The MathWorks recently released the Distributed Computing
Toolbox, which enables users to execute MATLAB algorithms in a cluster of
computers.  Using the Distributed Computing Toolbox with the Bioinformatics
Toolbox, scientists can perform intensive computations with large data sets
previously unattainable on a single computer for applications such as genomic
and proteomic sequence and microarray analysis.

    Pricing and Availability
    The Bioinformatics Toolbox 2.0 is available immediately for Microsoft
Windows, UNIX/Linux, and Macintosh platforms.  U.S. list prices start at
$1,000.

    About The MathWorks
    The MathWorks is the world's leading developer of technical computing
software for engineers and scientists in industry, government, and education.
With an extensive product set based on MATLAB and Simulink(R), The MathWorks
provides software and services to solve challenging problems and accelerate
innovation in automotive, aerospace, communications, financial services,
biotechnology, electronics, instrumentation, process, and other industries.
The MathWorks was founded in 1984 and employs more than 1,000 people
worldwide, with headquarters in Natick, Massachusetts. For additional
information, visit http://www.mathworks.com.

    MATLAB, Simulink, Stateflow, Handle Graphics, and Real-Time Workshop are
registered trademarks, and TargetBox is a trademark of The MathWorks, Inc.
Other product or brand names are trademarks or registered trademarks of their
respective holders.

    Press Contacts:
     Dave Smith                         Sarah Coyle
     The MathWorks, Inc.                SHIFT Communications
     (508) 647-7427                     (617) 681-1245
     dave.smith@mathworks.com           scoyle@shiftcomm.com


  SOURCE The Mathworks




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Related links:
  • http://www.mathworks.com
    Photo Notes:
    NewsCom: 
    http://www.newscom.com/cgi-bin/prnh/20041118/NETH002
    AP Archive: http://photoarchive.ap.org
    PRN Photo Desk, photodesk@prnewswire.com
    CONTACT:
    Dave Smith of The MathWorks, Inc.,
    +1-508-647-7427, dave.smith@mathworks.com; or Sarah Coyle of
    SHIFT Communications, +1-617-681-1245, scoyle@shiftcomm.com

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