Showing 5 open source projects for "data analytics"

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  • 1
    CSI-Math-Notation-PostfixInfix

    CSI-Math-Notation-PostfixInfix

    Perl Lib Math Notation

    * Introduction: - This Module is a Library based Perl code. - The library provide: - Convert INFIX expressions to POSTFIX; - Convert POSTFIX expressions to INFIX and; - Perform POSTFIX context validations. - Context validation can be implemented in item selection routines or data context validation, when it is possible to identify data to be selected or ignored in some data analysis process. * NOTE: - Before any implementation, we recommend details in WIKI...
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  • 2

    PINCIS

    PINCIS.pl is a Perl bioinf. script to analyze PICS data

    PINCIS.pl (PIcs N-/C-terminal Inferred Substrates perl script) is a small, command line tool to designate and analyze PICS (Schilling et al., Nat. Protocols, 2011) data to gain the prime and non-prime site specificity of proteases. Thus, the script filters given peptide lists for library peptides (generated by the digestion protease in the proteomics workflow rather then the protease of interest) and prints out lists of inferred N- and C-terminal cleavage window extensions which can be...
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  • 3
    UA-Parser

    UA-Parser

    A multi-language port of Browserscope's user agent parser

    ua-parser is a multi-language library for parsing User-Agent strings into structured data, such as browser, OS, and device information. Originally created for web analytics and user tracking, it supports a wide range of platforms and is available in JavaScript, Python, Java, and other languages. ua-parser is often used in server logs, analytics dashboards, and A/B testing systems to segment traffic.
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  • 4
    q pipeline manager

    q pipeline manager

    q: integrated platform for pipeline configuration and management

    The q utility is a platform for creating and managing data analysis pipelines. It expands the value of your existing job scheduler - either Grid Engine or TORQUE PBS - through numerous functions that help you organize, submit, monitor, manage and share your informatics work. Data processing pipelines require high-level organization and parallelization of work to optimize resource utilization and decrease the time to results. q (from queue) allows complex job sequences to be efficiently...
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  • 5
    Interactive Perl environment for data analysis. It consists of several integrated tools such as a Plotting tool, Interactive Shell, and more. Written entirely in Perl using Tk.
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