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        <title>Biomax Informatics AG - News</title>
        <link>http://www.biomax.com/company/news.php</link> 
        <description>Biomax provides computational solutions for better decision making and knowledge management in the life science industry.</description>
	<language>en-us</language>

<item>
<title>
Analyze This! <i>Nature</i> (Print Issue) takes note of the BioXM Knowledge Management Environment in the latest scientific software Product Focus.
</title>
<link>http://www.nature.com</link>
<description>
Read more about  &lt;a href=&#034;http://www.biomax.com/products/bioxm.php&#034; target=&#034;_blank&#034;&gt; BioXM&lt;/a&gt;.
</description>
<dc:creator>Biomax Informatics AG</dc:creator>
<dc:date>2008-10-09</dc:date>
</item>

<item> <title>Integrative Genomics and Chronic Disease Phenotypes: modelling and simulation tools for clinicians </title>
       <link>http://www.biomax.com/projects/biobridge.php</link>
 <description> BioBridge is a consortium dedicated to use the omics revolution data explosion to improve the mechanistic understanding of of complex chronic disorders. To this end BioBridge not only generates clinical and experimental data, but also a Systems Biology infrastructure, which provides a tool for data integration and simultaneous analysis of different levels of information. Biomax is a central partner for BioBridge and provides the data integration and knowledge management infrastructure.  </description>
 <dc:creator>Biomax Informatics AG</dc:creator>
 <dc:date>2008-10-07</dc:date>
 </item>

<item> <title> A new article published in <i>Bioinformatics</i> describes how the Biomax 
BioXM Knowledge Management Environment facilitated the identification of sets of proteins 
that are predictive of leukemia-cell response to DNA damage. </title>
            <link>http://www.biomax.com/products/bioxm.php</link>          

	    <description>Have a look at the paper in &lt;a href=&#034;http://bioinformatics.oxfordjournals.org/cgi/content/abstract/btn489?ijkey=zizzNljQKsmgeQS&#38;keytype=re&#034; target=&#034;_blank&#034;&gt; Bioinformatics &lt;/a&gt;.
</description>

            <dc:creator>Biomax Informatics AG</dc:creator>
            <dc:date>2008-09-24</dc:date>
        </item>

        <item>
            <title>BIOMAX INFORMATICS AG releases the new BioXM version 3.0, a major upgrade of its flagship enterprise platform for semantic data integration and knowledge management.</title>
            <link>http://www.biomax.com/company/pressrel/2008_BioXM3.pdf</link>            <description>Biomax Informatics today announced the
new release of a major upgrade of its flagship product BioXM Knowledge Management
Environment. The BioXM system integrates information from different data sources to
dynamically build semantic networks representing up-to-date knowledge, which can then be
mined and analyzed. BioXM version 3.0 now introduces an all-new set of tools specifically
developed for scientific interpretation of semantic networks such as biological pathways or
biomedical relationship graphs. The BioXM system allows complex scientific questions to be
answered dynamically and graphically with unprecedented speed and flexibility. Using a
unique, easy-to-use approach of query-based “information layers”, different user-configurable
scientific scenarios can be explored with a single click. A newly introduced high-performance
analysis API seamlessly integrates favorite tools such as often-used R and BioConductor
scripts or other third-party applications.
            </description>
            <dc:creator>Biomax Informatics AG</dc:creator>
            <dc:date>2008-09-04</dc:date>
        </item>


        <item>
            <title>BIOMAX INFORMATICS AG releases the new BioXM version 3.0, a major upgrade of its flagship enterprise platform for semantic data integration and knowledge management.</title>
            <link>http://www.biomax.com/company/pressrel/2008_BioXM3.pdf</link>            <description>Biomax Informatics today announced the
new release of a major upgrade of its flagship product BioXM Knowledge Management
Environment. The BioXM system integrates information from different data sources to
dynamically build semantic networks representing up-to-date knowledge, which can then be
mined and analyzed. BioXM version 3.0 now introduces an all-new set of tools specifically
developed for scientific interpretation of semantic networks such as biological pathways or
biomedical relationship graphs. The BioXM system allows complex scientific questions to be
answered dynamically and graphically with unprecedented speed and flexibility. Using a
unique, easy-to-use approach of query-based “information layers”, different user-configurable
scientific scenarios can be explored with a single click. A newly introduced high-performance
analysis API seamlessly integrates favorite tools such as often-used R and BioConductor
scripts or other third-party applications.
            </description>
            <dc:creator>Biomax Informatics AG</dc:creator>
            <dc:date>2008-09-04</dc:date>
        </item>

	<item>
            <title>Biomax Informatics collaborates with the Mount Desert Island Biological Laboratory (MDI) to integrate MDI's curated Comparative Toxicogenomics Database with the BioXM Knowledge Management Environment</title>
            <link>http://www.biomax.com/company/pressrel/2008_mdi_ctd.pdf</link>
	    <description>Biomax Informatics and the Mount Desert Island Biological Laboratory (MDI) today announced that Biomax will integrate MDI's
Comparative Toxicogenomics Database (CTD) into the BioXM Knowledge Management Environment. CTD is a valuable, manually curated resource, which advances understanding the effects of environmental chemicals on human health. Biomax will offer CTD as a free content resource to all users of Biomax's enterprise platform for semantic data integration, the BioXM system.
	    </description>
            <dc:creator>Biomax Informatics AG</dc:creator>
            <dc:date>2008-07-29</dc:date>
        </item>

	<item>
            <title>Sophic, Biomax Hone Text-Mining, Curation Tools for Final Phase of Cancer Gene Index</title>
            <link>http://www.biomax.com/company/news.php</link>
	    <description>Read the &lt;a href=&#034;http://www.bioinform.com/issues/12_27/webreprints/148355-1.html&#034; target=&#034;_blank&#034;&gt;original story&lt;/a&gt; by Vivien Marx in BioInform.</description>
            <dc:creator>Biomax Informatics AG</dc:creator>
            <dc:date>2008-07-07</dc:date>
        </item>

	<item>
            <title>Sophic Systems Alliance receives award from National Cancer Institute to complete the Cancer Gene Index Project</title>
            <link>http://www.biomax.com/company/pressrel/2008_sophic_nci.pdf</link>
	    <description>Today, Sophic announced the launch of a 12-month, $1.3M project funded by the National Cancer Institute (NCI), to complete the first comprehensive index of 6,610 cancer-related genes found in Medline abstracts, with manually annotated gene-disease and gene-compound relationships. Over the past four years, Sophic has teamed with NCI and Biomax Informatics AG in Munich, Germany, to build this highly curated, standardized, computable cancer knowledge base. When complete, the cancer community will have access to a comprehensive compendium of cancer information. The 4,658 cancer genes annotated in previous phases of this project are already publically available at the NCI website at &lt;a href=&#034;http://ncicb.nci.nih.gov/NCICB/projects/cgdcp&#034; target=&#034;_blank&#034;&gt;http://ncicb.nci.nih.gov/NCICB/projects/cgdcp.</description>
            <dc:creator>Biomax Informatics AG</dc:creator>
            <dc:date>2008-06-23</dc:date>
        </item>

        <item>
            <title>Biomax Informatics AG selected as a consortium partner in the newly formed Center for Personalized Cancer Medicine (OncoTyrol)</title>
            <link>http://www.biomax.com/company/pressrel/2008_oncotyrol_e.pdf</link>
            <description>Biomax Informatics AG announces today that it has been selected as a consortium partner in the OncoTyrol project Center for Personalized Cancer Medicine, an Austrian COMET-program, which supports building up centers that are based on a top-level research program jointly formulated by science and industry. This €28 million initiative focuses on translating genomic, proteomic and metabolomic research into innovative, individualized and cost-effective approaches for cancer diagnosis and treatment. It aims to achieve three primary goals: (1) to characterize the paradigm malignancies chronic myeloid and lymphocytic leukemia, breast and prostate cancer at the molecular level (2) to identify, verify and validate biomarkers for prediction of individual cancer risk, treatment response and outcome, and (3) to develop tailored therapies for cancer patients or cohorts that are most likely to benefit.</description>
            <dc:creator>Biomax Informatics AG</dc:creator>
            <dc:date>2008-04-22</dc:date>
        </item>
 
	<item>
            <title>Biomax Informatics AG licenses the BioRS Integration and Retrieval System to Boehringer Ingelheim</title>
            <link>http://www.biomax.com/company/pressrel/2007_biors_bi_e.pdf</link>
            <description>Biomax Informatics AG announced today that Boehringer Ingelheim GmbH &amp; Co. KG has licensed the BioRS™ Integration and Retrieval System. Boehringer Ingelheim plans to use the BioRS system as a data integration platform providing unified access to public and proprietary data sources in its global pharmaceutical R&amp;D environment.</description>
            <dc:creator>Biomax Informatics AG</dc:creator>
            <dc:date>2007-10-09</dc:date>
        </item>

	<item>
            <title>New BioRS release from Biomax Informatics AG combines database integration and retrieval with sequence search and alignment tools</title>
            <link>http://www.biomax.com/company/pressrel/2007_biors_seqsear_e.pdf</link>
            <description>Biomax releases today a new module for the BioRS™ Integration and Retrieval System, an application providing simultaneous searches in multiple biological and biomedical databases. The new module provides standard sequence similarity search and multiple alignment tools for querying nucleotide and protein sequences. With this module, the BioRS query form allows text fields to be searched while simultaneously using Basic Local Alignment Search Tool (BLAST) similarity and pattern searches with a sequence field. The integrated text and similarity search allows fast and specific results focusing on a topical area. Search results provide access to sequences in different formats as well as pair-wise and multiple sequence alignments.</description>
            <dc:creator>Biomax Informatics AG</dc:creator>
            <dc:date>2007-10-02</dc:date>
        </item>
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