Search Results for "oracle-apex-workflow"

The Analyses Database is a collection of software to archive and to track rawdata files from analytical instruments. The system is set up using freely accessible tools - MySQL, apache, PHP, Linux. Several utilities for MS Windows are provided.

LightProfiler – application for performance analysis of the Oracle databases. It generates detailed resource profile for extended SQL trace files (10046 event), containing information about consuming of response time (by events, by cursors, etc.), data files usage, error analysis (SQL, PL/SQL) and much more. Also it contain tools for additional processing of trace files (extract session data, splitting files) and for management of database's sessions (disconnecting, tracing, monitor parameters, blocking locks, events and etc.)

Oracle MySql’ in ve MariaDb’ nin tüm versiyonlarında çalışması öngörülmektedir. Açık kaynaklı bir projedir.

It's a very light Redhat Linux and Oracle OVM System Performance Monitoring tool written in Perl using rrdtool for Database and Graphing. Allows you to query the RRD database given a set of dates and generates a web based graphs. Easy to install. Uses less disk space than most performance monitoring tool. Data of each host monitored is kept for 2 years and occupy less that 25 MB of disk space.

Image analysis software for quantification of cell density in microbial cultures (e.g. S. cerevisiae) growing on solid agar plates. Specialises in detection of extremely low cell densities. Forms part of the Quantitative Fitness Analysis (QFA) workflow: http://research.ncl.ac.uk/qfa/ Suitable for high-throughput, genome-wide analysis of culture libraries when combined with the following qfa R package: http://qfa.r-forge.r-project.org/ This is the version presented, used and demonstrated in the following manuscripts: Lawless et al. 2010 http://dx.doi.org/10.1186/1471-2105-11-287 Addinall et al. 2011 http://dx.doi.org/10.1371/journal.pgen.1001362 Chang et al. 2011 http://dx.doi.org/10.1534/g3.111.000216 Banks et al. 2012 http://dx.doi.org/10.3791/4018 Development has been moved to github, where Colonyzer has undergone several recent improvements, particuarly making installation easier and analysis faster: https://github.com/CnrLwlss/Colonyzer