Open Source PL/SQL Bio-Informatics Software for Windows

Integrated Hospital Information System. PHP,mySQL,PostgreSQL. Surgery, Nursing,Outpatient,Wards,Labs, Pharmacy, Security,Admission,Schedulers, Repair, Communication & more. Multilanguage, WYSIWYG forms, userconfig, embedded workbots. Modular & scalab

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.

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

Protein Data Bank transformed into an SQL database with a very powerful search engine and a rich web interface. The engine combines chemical, sequence and 3D structure searches. The interface provides statistics, sequence and 3D structure alignments.

Venndiagram comparison for ProteinExperiments in the PRIDE Database

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.

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.

Many biological laboratories dealing with genomic samples are facing the problem of sample tracking, both for pure laboratory management and efficiency, and for internal policies, such as Good Laboratory Practices (GLP). Our laboratory exploits PCR techniques and next-generation sequencing (NGS) methods, to perform high-throughput integration site monitoring in different clinical trials and scientific projects, based on the delivery of therapeutic genes by viral vectors integrating into the genome of target cells. We process around 1500 samples/year resulting in hundreds of millions of sequencing reads, requiring automation and posing new challenges in data storage, monitoring of sample process and computational tools for analyses. Thus we need to standardize data management and tracking systems, built on a scalable, flexible structure with an easily accessible and web based interface, what is usually called Laboratory Information Management System (LIMS).