Download Genesis v1.7.6.30.09.10 x64 keygen by DIGERATI

Added to site2010-10-10
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Genesis.v1.7.6.30.09.10.x64.keygen.zip (211336 bytes)

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DIGERATI.nfo 13084 3667
FILE_ID.DIZ 49 49
Genesis.v1.7.6.30.09.10.x64.keygen.exe 223232 207146

DIGERATI.nfo

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▐███▓█▄▄ ░   ▐████▓▓░  ▐██▓▓   │Programming is an art form    │      ░ ▄▄█▓███▌
 ██▀▀▀██▓▓▄   ███▓▓    ██▓▓▌   │that fights back.             │     ▄▓▓██▀▀▀██ 
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  ▀███▓███▓▀▀             ■■ The diGERATi Present ■■             ▀▀▓███▓███▀    
      ▀▀▀                                                                      
  █▄▄▄▄▄             Genesis_v1.7.6.30.09.10_x64-DIGERATI         ▄▄▄▄▄▄█
    ▀███▓▄                                                           ▄███▓▀    
     ▐██▓▓                    ■                ■                     ███▓▌     
     ███▀                     ■■ Release Info ■■                      ▀██▓     
   ▄██▀                                                                 ▀██▄   
 ▄██▀                                                                     ▀██▄ 
▐█▓▓      Cracker ......: DIGERATI       Release-Type..: Regged            ██▓▌
██▓▌      Packager......: DIGPACKER      Release-Date..: 10/9/2010         ▐██▓
██▓       Supplier......: DIGERATI       Protection....: License           ██▓
▐██       Coder.........: DIGERATI       OS............: WinALL            █▓▌
 ██▓ ░    Company.......:                Files.........: xx/11            ░▓█▓ 
  ▀██░                                                                   ░█▓▀  
  ▀██░    URL: genome.tugraz.at                                         ░█▓▀  
▓▄ ▐█▓▌                                                                 ▐█▓▌ ▄▓
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█▄    █▄▀▀████▓▀   ▐█▓▌    ▀  ■■ Release Notes ■■  ▀    ▐█▓▌   ▀▓████▀▀▄█    ▄█
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▐█▓▌                                                                       ▐█▓▌
██▓                                                                         ██▓
██▓        High throughput gene expression analysis is becoming more        ██▓
██▓        and more important in many areas of biomedical research.         ██▓
██▓        cDNA microarray technology is one very promising approach        ██▓
██▓        for high throughput analysis and gives the opportunity to        ██▓
██▓        study gene expression patterns on a genomic scale.               ██▓
██▓        Thousands or even tens of thousands of genes can be              ██▓
██▓        spotted on a microscope slide and relative expression            ██▓
██▓        levels of each gene can be determined by measuring the           ██▓
██▓        fluorescence intensity of labeled mRNA hybridized to the         ██▓
██▓        arrays. Hence, microarrays can be used to identify               ██▓
██▓        differentially expressed genes in two samples on a large         ██▓
██▓        scale. Beyond simple discrimination of differentially            ██▓
██▓        expressed genes, functional annotation                           ██▓
██▓        (guilt-by-association) or diagnostic classification              ██▓
██▓        requires the clustering of genes from multiple experiments       ██▓
██▓        into groups with similar expression patterns. Several            ██▓
██▓        clustering techniques were recently developed and applied        ██▓
██▓        to analyze microarray data.                                      ██▓
██▓        We have developed a platform independent Java package of         ██▓
██▓        tools to simultaneously visualize and analyze a whole set        ██▓
██▓        of gene expression experiments. After reading the data           ██▓
██▓        from flat files several graphical representations of             ██▓
██▓        hybridizations can be generated, showing a matrix of             ██▓
██▓        experiments and genes, where multiple experiments and            ██▓
██▓        genes can be easily compared with each other. Fluorescence       ██▓
██▓        ratios can be normalized in several ways to gain a best          ██▓
██▓        possible representation of the data for further                  ██▓
██▓        statistical analysis. We have implemented hierarchical and       ██▓
██▓        non hierarchical algorithms to identify similar expressed        ██▓
██▓        genes and expression patterns, including: 1) hierarchical        ██▓
██▓        clustering, 2) k-means, 3) self organizing maps, 4)              ██▓
██▓        principal component analysis, and 5) support vector              ██▓
██▓        machines. More than 10 different kinds of similarity             ██▓
██▓        distance measurements have been implemented, ranging from        ██▓
██▓        simple Pearson correlation to more sophisticated                 ██▓
██▓        approaches like mutual information. Moreover, it is              ██▓
██▓        possible to map gene expression data onto chromosomal            ██▓
██▓        sequences. The flexibility, variety of analysis tools and        ██▓
██▓        data visualizations, as well as the free availability to         ██▓
██▓        the research community makes this software suite a               ██▓
██▓        valuable tool in future functional genomic studies.              ██▓
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▐█▓▌                                                                       ▐█▓▌
 ██▓ ░ ▄ ▀▀▄                 ■                  ■                  ▄▀▀ ▄ ░ ▓█▓ 
  ▀██▓▄▄   ▐██▄       ▄      ■■ Install  Notes ■■       ▄       ▄█▓▌   ▄▄▓██▀  
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▀██▓▄▄█▓                                                               █▓▄▄██▓▀
▄ ▀▀▀▀▀                                                                 ▀▀▀▀▀ ▄
█▓  █▓▀                                                                 ▀▓█  █▓
█▓▌▀█      1. Unpack and install the software                             █▀▐█▓
█▓▌▀█      2. Use the following information in serial.txt to register     █▀▐█▓
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▀███▓▓  ▀▀                                                          ▀▀▀▀██▓▓▓▀
 ▄▄▄▄█                   ■■ Mission Statement: ■■                       █▄▄▄▄ 
▄█▓  █▓▌    A few years ago, DiGERATi emerged onto the scene.          ▐█▓  █▓▄
█▓▌  ▐█▓    Focusing on quality rather than quantity, our              █▓▌  ▐█▓
▀█▓   █▓▌   members have successfully tackled some of the toughest    ▐█▓   █▓▀
  ▀▀▄ █▓▌   challenges in the scene.  Working as a closely unified    ▐█▓▄▀▀  
     ▐█▓    team we have maintained some of the highest standards     ██▓     
     ██▓██  for security, quality, innovation, and comradery in the  ██ ██▓     
    ▐█▓  ▐█ scene today. DiGERATi is not one or two hardworking      ▓▌  █▓▌    
    █▓    █▓ persons; it is a force of hardworking people. Respect  ██▓    █▓    
   █▓    █▓▓ is not to be demanded; it is to be earned!  We look    ██▓    █▓   
 ▄█▓   ▄█▓▓ forward to working even harder in the future to continue ██▓▄   █▓▄ 
▐█▓▌  ██▓▓ & to earn the respect of our peers. For anyone other than ██▓▓  ▐█▓▌
▐██▓ ██▓▀   our peers, WE DO NOT EXIST!                               ▀██▓██▓▓
 ▀███▄▄▄░                                                        ░▄▄▄█▓▓▀ 
  ▄▄▀▀▀█▓█▄▄▄ ░                                                 ░ ▄▄▄█▓█▀▀▀▄▄  
  █▓▌     ▀█▓▓▓▄▄          ▄█                                 ▄▄███▓▀     ▐▓█  
   ▀█▄     ▐██▓▓▓▌   ░  ░ █ █ ▀ █▀▀ ▓▀▄ ▄▀▀ ▀█ █▄▄ █ ░  ░    ▐███▓▓▌     ▄█▀   
  ▄▄▄▄▄▀▀▀▀▀▀▀▓▀     ░  ░ █▄▓░█░█▄█ █▄▄ █ ░█▄▓ █▄▄ █ ░  ░      ▀▓▀▀▀▀▀▀▀▄▄▄▄▄  
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 █▓▓▀         ░                                                 ░         ▀▓▓█
▐▓▌                                                                         ▓▌
▐▓▌                  ■■ Our Respect goes out to: ■■                         ▓▌
▐▓▌                                                                         ▓▌ 
 ▀█▄▄       BliZZARD BRD CORE CRD DELIGHT DVT DDU EAT F4CG EMBRACE        ▄█▀ 
 ▄▄▄▄█            HAZE HERETIC LZ0 SHOCK SSG TBE UNDERPL ZWT            █▄▄▄▄
 ▄▄▄▄█                                                                  █▄▄▄▄
▄█▓  █▓▌  ■ Greets to all who work hard help make the scene secure!   ▐█▓  █▓▄
▄█▓  █▓▌                                                              ▐█▓  █▓▄
█▓▌  ▐█▓ ■ A special thanks to those who supported us in the past and █▓▌  ▐█▓
▀█▓   █▓▌ helped to make us what we are today.Also,a major thanks to ▐█▓   █▓▀
  ▀▀▄ █▓▌ those that broke the trail for us but can no longer be     ▐█▓ ▄▀▀  
     ▐█▓  here amongst us.                                            █▓▌     
     ██▓ █                                                            ███▓     
    ▐█▓  ▐█ ■ Who are the "digerati" and why are they "the cyber elite"? ▓ █▓▌    
    █▓    █▓ They are the doers and thinkers. They are not on the    ██▓   █▓    
   █▓    █▓▓       frontier, they are the frontier!!...               ██▓    █▓   
 ▄█▓   ▄█▓▓                                                           ██▓▄   █▓▄ 
▐█▓▌  ██▓▓                                                            ██▓▓  ▐█▓▌
▐██▓ ██▓▀                                                             ▀██▓ ██▓▓
 ▀███▄▄▄░                                                           ░▄▄▄█▓▓▀ 
  ▄▄▀▀▀█▓█▄▄▄ ░                                                 ░ ▄▄▄█▓█▀▀▀▄▄  
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    ▀█▄     ▐██▓▓▓▌  ░  ░ █ █ ▀ █▀▀ ▓▀▄ ▄▀▀ ▀█ █▄▄ █ ░  ░    ▐███▓▓▌    ▄█▀   
  ▄▄▄▄▄▀▀▀▀▀▀▀▓▀     ░  ░ █▄▓░█░█▄█ █▄▄ █ ░█▄▓ █▄▄ █ ░  ░      ▀▓▀▀▀▀▀▀▀▄▄▄▄▄  
 █▓▓▀         ░                                                 ░         ▀▓▓█ 
▐▓▌ Yce                                                                     ▐▓▌
 ▀█▄▄                                                                     ▄█▀


FILE_ID.DIZ

DIGERATI's keygen for Genesis v1.7.6.30.09.10 x64


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