Search Results for "sql parser java" - Page 2
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Showing 46 open source projects for "sql parser java"
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OpenDMAP (Open Source Direct Memory Access Parser) is a natural language processing (text mining) application: a semantic parser for information extraction.
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This is a reference implementation of snoBAC, a Bayesian Classifier designed to predict box H/ACA snoRNAs in Caenorhabditis nematode genomes. For details of algorithm and data, see Wang and Ruvinsky (2009) RNA in press.
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This Project moved to https://sourceforge.net/projects/synbiowave/ because the name GeneWave is a registered trademark... Please do not use this project anymore.
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Decima is a database that was designed to support time-series data mining. It consists of PostgreSQL custom type definition, implementation of GiST index for that type and snowflake database schema.
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SciBearSpace
Clinical Information Management
Open Source Clinical Information Management System. From research to laboratory. Gathering / storing of analytical data within an SQL database. -
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A bioinformatics package to analyse ESTs (Expressed Sequence Tags) easily. It contains functionalities of ESTs for EST submission, Batch BLAST and BLAST result parser, etc. easiEST contains JAVA GUI applications for analysing ESTs or other sequences
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@Note2 is now available in www.anote-project.org @Note is a Biomedical Text Mining workbench that integrates current Biomedical Text Mining (BioTM) methods and provides biologists with intuitive tools capable of supporting their bibliographic searches and further literature curation.
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GTdb - Modular genotype database for all markers. The database has core which captures information common to different variation measurements and extensions to method and instrument specific data.
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GRIP is a clinical decision support system for controlling glucose levels in critically ill patients. GRIP may replace paper-based protocols for intensive insulin therapy and can use arbitrary complex rules to advise nurses on insulin doses.
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The metabolomics standards initiative (msi) will develop a Core Information for Metabolomics Reporting (CIMR) recommendation and a more formal and semantically defined corresponding ontology (msi-ontology).
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Genome Expression Pathway Analysis Tool - Analysis and Visualization of Microarray Gene Expression Data under Genomic, Proteomic and Metabolic Context
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Trauma registry suite; Data collection application and server scripts to build trauma data warehouse and perform web-based analysis reporting. Cross-platform compatible for Windows, Apple, Unix, or Linux.
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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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PSIMAP is the Protein Structural Interactome MAP, a map of all the domain level protein-protein interactions in the Protein Data Bank (PDB). PSIsoft is an archive of the software used to generate and analyse PSIMAP.
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TAS (Transcription Analysis System) is a multi-tier framework for running parameterized SQL queries. Users can analyze new data or new combinations of data with a few clicks in a GUI. Potentially complex/repetitive database interaction is all automated
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The Comparative Toxicogenomics Database (under development) will be a publicly-available, web-based database of genes and proteins of human toxicological significance. It is being developed using an Oracle 9i database, Tomcat, and Python.
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Talisman is an interpreter for a logical markup language. This language contains the content and logic of a web (or, in the future, Java Swing) based user interface, including arbitrary datatypes and processing actions.
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PARPs database is a web-based tool whose features include experiment annotation, protein database searching, protein sequence management.Statistical validation, , visualization, and converters from raw MS data open mzXML mzData format
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The Integrative Biology VRE is a web-based graphical user interface and repository that provides an environment where biological simulation experiments can be constructed without the need for any knowledge of unix, cluster computing, or shell scripting.
