Search Results for "sql command line" - Page 2
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Showing 34 open source projects for "sql command line"
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Modified ssSNPer. Phenotype info for EBV-LCLs (HAPMAP CEU) for a minor histocompatibility antigen (mHag) specific T cell is input. Output is the region containing the mHag. A step-by-step read-me will be included.Email r.m.spaapen@umcutrecht.nl for help.
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This command-line tool will help people who want to compare 2 csv-like files, and get a detailed report on which rows and fields differ between both files. An awk-based version and Perl Version is currently available.
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NDAD is the UK National Digital Archive of Datasets. This project contains the source code for the bespoke software which drives the public website and many aspects of the data curation/archiving process.
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We moved to https://github.com/sueswe/pzgtools Perl-Programs to extract information (and visualize them with gnuplot) from data-files from the PZG Particle Sampler from "rr-elektronik" (see http://www.rr-elektronik.de). Linux/KDE-version, GUI written in QT or Gambas. Win32-ver: pzg-tools.npage.de
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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The Genomic Diversity and Phenotype Data Model (GDPDM) captures molecular and phenotypic diversity data. MySQL databases are used to implement the schema. This project develops software tools (written in Java, Perl, etc.) associated with this model.
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Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
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Comprehensive & high performance data distribution &transformation system. Features a simple, user-friendly event driven scripting interface transparently generates & execs highly efficient Perl/C code. Uses:ETL,datawarehousing,statistics,data-cleansing.
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Recon-Calc is a source code feature location tool based on the Software Reconnaissance technique. It allows you to name features of your system and then, based on coverage profiles gathered, you can find where they are implemented in the source code.
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