ABSTRACT
Objective To explore the migration of Windows operating system to Virtual Linux operation system to solve the problems faced by the main server of No.1 Military Medical Project HIS.Methods The migration was fulfilled with x86 hardware platform,open-source Linux operating system and virtualization technology to meet the performance and reliability requirements of No.1 Military Medical Project System.Results The migration was completed successfully to Virtual Linux system.Conclusion The migration scheme meets the requirements of HIS on performances,reliability,stability and safety,saves the cost for informatization,and is of great practical value.
ABSTRACT
Undertaking modelling investigations for Computer-Aided Drug Design (CADD) requires a proper environment. In principle, this could be done on a single computer, but the reality of a drug discovery program requires robustness and high-throughput computing (HTC) to efficiently support the research. Therefore, a more capable alternative is needed but its implementation has no widespread solution. Here, the realization of such a computing facility is discussed, from general layout to technical details all aspects are covered.
Subject(s)
Computer-Aided Design , Drug Design , Laboratories , Computational Biology/methods , Computer Communication Networks , Computer Simulation , Databases, Factual , Humans , Models, Molecular , SoftwareABSTRACT
More and more DNA sequences have been obtained since the start-up of human genome project. Powerful system is badly needed for data mining on these DNA sequences. Based on a personal computer and Linux operating system, the Phred/Phrap/Consed software and Blast software were used to construct a platform for batch analysis of the sequences, including identifying raw DNA sequence from chromatogram file, vector sequence removing, contig analysis (sequence assembly), repeat sequence identifying and sequence similarity analysis. Result demonstrated that this robust platform could accelerate data analysis for large-scale DNA sequencing.
