Title :
V-Lab-Protein: Virtual Collaborative Lab for protein sequence analysis
Author :
Jong Youl Choi ; Youngik Yang ; Sun Kim ; Gannon, Dennis
Author_Institution :
Dept. of Computer Science, Indiana University, Bloomington, IN 47404, USA
Abstract :
Recent development of genome and gene analysis technology enabled rapid accumulation of biological data. To utilize such huge data, a biologist needs to have resource-rich computing environment and user-friendly analysis tool invocation. To response such requirements, we designed and implemented a virtual lab, named Virtual Collaborative Lab (V-Lab-Protein), using an efficient and flexible computing resource management and workflow engine with a user-friendly graphical workflow composer. Utility of our system is demonstrated by analyzing sample protein sequence sets. This is the first system of its kind that combines flexible workflow systems and on-demand compute and data resources (Amazon EC2/S3 in this case). We believe that this system design principle will be a new and effective paradigm for small biology research labs to handle the ever-increasing biological data.
Keywords :
biology computing; data analysis; genetics; graphical user interfaces; groupware; human computer interaction; proteins; resource allocation; sequences; virtual reality; Amazon EC2/S3; V-Lab-Protein; biology research lab; flexible computing resource management; gene analysis technology; protein sequence analysis; resource-rich computing environment; system design principle; user-friendly analysis tool invocation; user-friendly graphical workflow composer; virtual collaborative lab design; workflow engine; Bioinformatics; Biology computing; Cloud computing; Collaboration; Costs; Databases; Genomics; Java; Protein sequence; Sequences;
Conference_Titel :
Bioinformatics and Biomedicine Workshops, 2007. BIBMW 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-1-4244-1604-2
DOI :
10.1109/BIBMW.2007.4425417