Search Results for "table database"
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Showing 4 open source projects for "table database"
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ETU SQL for MySQL
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also: 1) ETU SQL for MS SQL : https://sourceforge.net/projects/etusqltango/ 2) ETU SQL for Oracle: https://sourceforge.net/projects/etusqlfororacle/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ 4) ETU SQL for PostgreSQL: https://sourceforge.net/projects/etusqlforpostegresql/ -
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ETU SQL for Oracle
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also: 1) ETU SQL for MS SQL : https://sourceforge.net/projects/etusqltango/ 2) ETU SQL for MySQL : https://sourceforge.net/projects/etusqlformysql/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ Damián Ezequiel Ortiz - 2014 -
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MolBioLib
C++11 framework for rapid develop and deploy of bioinformatic tasks.
MolBioLib is a compact, portable, and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. MolBioLib is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets, ranging from alignment data to annotations. MolBioLib includes programs to perform a wide variety of analysis tasks such as computing read coverage, annotating genomic intervals, and novel peak calling with a wavelet algorithm. ... -
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DbViz produces plots of data contained in MySQL databases. Data can be viewed by looking at line graphs, xy scatter plots, and bar graphs. This greatly simplifies data analysis.
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