PATH BUILDER

PathBuilder is an open source software to annotate biological information pertaining to signaling pathways and, with minimal additional effort, to create web-based pathway resources. PathBuilder enables annotation of molecular events including protein-protein interactions, enzyme-substrate relationships and protein translocation events via manual or automatic methods. The features of PathBuilder include automatic validation of data formats, built-in modules for visualizing pathways, automated import of data from other pathway resources, export of data in several standard data exchange formats and an application programming interface for retrieving pathway datasets.

BIO-BUILDER

A content management system, designed for easy modifications and management of HPRD, using web interface. The administration of annotation process and the multi-level review carried out round the globe is made easy by the implementation of this tool. This user friendly tool is created using Python and Zope.

GENOME BROWSER

An application which would comprise the basic sequence data along with the higher-level, location-based annotations on the sequence: These annotations would relate the sequence data to various genomic aspects like SNPs and expression profiling data such as that derived from DNA microarray and SAGE studies and also mass spectrometry derived data in order to understand various post translational modifications. This would add value to the analysis of the genomic sequence, as it would provide several different contexts in which to interpret the genomic/transcriptomic/proteomic data. With this application, when exploring a genomic region, biologists would be able to interact with the interface in a richer fashion than is currently possible using simple, hyperlinked images.

TAGmapper

Is a comprehensive tool used to perform tag-to-gene mapping. The 10 base pair sequences of each of the SAGE tags, which are generated experimentally in the lab, are submitted to the tool as input. The output results in mapping the SAGE tags to their respective genes by performing an extensive search across the ‘dbEST’ and ‘non redundant’ database.