BioHPC Home
   
       BioHPC
       
       Computational Biology Application Suite for High Performance Computing 
        
        
            About
            BioHPC
        
		
		 BioHPC is a suite of computational biology 
		applications adapted to high-performance computing environment with a 
		very easy to use, intuitive, web-based interface. It provides:
BioHPC is a suite of computational biology 
		applications adapted to high-performance computing environment with a 
		very easy to use, intuitive, web-based interface. It provides:
		
			- Web-based, point-and-click access to a variety of bioinformatics 
			applications with the underlying structure of computational platform 
			transparent to the user
- Enhancement of standard applications through parallelization, 
			transparent to the user
- Integration and simplified access to geographically dispersed 
			hardware resources
- Web-based administration of users, jobs, applications, and 
			clusters within the suite
- Standardized access to and maintenance of bioinformatics 
			databases 
- Next generation data management and distribution – from 
			sequencing facility to users. 
- Next generation sequencing pipelines and applications – with 
			internal data management or optional external data upload 
- Web services access allowing integration with external clients  
			like Perl scripts, MS Excel or Microsoft Biology Foundation (clients 
			are available)
BioHPC is designed to be operated by the users that are not 
		experienced in HPC, web servers, clusters and such. It can be installed 
		on a small scale cluster in a biological lab, and then provide easy 
		access via web interface for lab members. It can be installed in a large 
		infrastructure system (like in CBSU) and provide a portal for 
		integrating many different, sometimes geographically distant, 
		computational resources.
		More information about various BioHPC features is provided on the 
		following pages: 
using BioHPC,
			
BioHPC next generation sequencing support,
		
BioHPC architecture,
		
BioHPC applications,
		
BioHPC administration,
		
future directions.