Search Results for "ofn-extract-objects.py"

In general it is a data versioning/historisation solution based on triggers. Slowly changing dimensions are only the prominent specimen of dimensional modelling but relational modelling can take advantage from it too. Its aim is to extract as much information from the information schema/catalogue of the data base to keep configuration as simple and robust as possible.

This software allows us to create a relational database in PostgreSQL hosting full bacterial genomes. Besides the database, there is software, like a parser, to convert EMBL or GBK files to the CpDB relational schema. Once in the CpDB, one can extract unlimited reports from bacterial genomes using SQL. This software is part of the Ph.D. in Bioinformatics from Anderson Santos (https://orcid.org/0000-0003-3418-0823) developed under the Corynebacterium pseudotuberculosis (Cp) pangenome project. The Cp pangenome delivered to the scientific community fifteen bacterial strains deposited at the GenBank database between the years of 2009 and 2012. ...

OSGC is an Open Source implementation of an OpenSearch GeoSpatial Catalogue compliant to OGC 10-32r3 specification, developed by EGI.eu (http://www.egi.eu/) under the ENVRI (http://envri.eu/) project. OSGC provides a catalogue engine built on top of a PostgreSQL+Postgis database, which exposes a cusmizable OpenSearch interface. Most of the application configuration can be set from the Admin web interface, while Data Administrators have a separated Dropbox interface, which ease the...

AnalysesOracle Performance Doctor is a tool which helps you to understand the behavior of your application on Oracle database level. The tool does: 1. Extract execution plan for all SQL’s executed by specified db user and print it to file on server side. 2. For all executed SQL statements the tool will provide more performance version of sql text by using built-in module dbms_sqltune.

The application Crimeblips provides up-to-date crime statistics for Berlin (Germany). It maps and visualizes crimes, allowing users to identify crime hot spots, trends and general patterns. Bayesian algorithms are used to extract relevant information.