Accession Number : ADP023782
Title : A Tool for Creating and Parallelizing Bioinformatics Pipelines
Descriptive Note : Conference paper
Corporate Author : ARMY MEDICAL RESEARCH AND MATERIEL COMMAND FORT DETRICK MD
Personal Author(s) : Yu, Chenggang ; Wilson, Paul A.
Report Date : JUN 2007
Pagination or Media Count : 4
Abstract : Bioinformatics pipelines enable hfr scientists to effectively analyze biological data through automated multi-step processes constructed by individual programs and databases. The huge amount of data and time consuming computations require effectively parallelized pipehnes to provide results within a reasonable time. To reduce researchers' programming burden for pipeline creation and parallelization, we developed the Bioinformatics Pipeline Generation and Parallelization Toolkit (B io Gent). A user needs only to create a pipehne definition file that describes the data processing sequence and input/output files. A program termed schedpipe in the BioGent toolkit takes the definition file and executes the designed procedure. Schedpipe automatically parallelizes the pipeline execution by performing independent data processing steps on muliple CPUs, and by decomposing big datasets into small chunks and processing them in parallel. Schedpipe controls program execution on multiple CPUs through a simple application programming interface (API) of the Parallel Job Manager (PJM) library. As a part of the BioGent toolkit, PJM was developed to effectively launch and monitor programs on multiple CPUs using a Message Passing Interface (MPI) protocol. The PJMAPI can also be used to parallelize other serial programs. A demonstration using PJM for parallelization shows 10% to 50% savings in time compared to an indigenous parallelization through a batch queuing system.
Descriptors : *BIOMEDICAL INFORMATION SYSTEMS , *INPUT OUTPUT PROCESSING , *DATA PROCESSING , USER NEEDS , APPLICATION PROGRAMMING INTERFACE , CENTRAL PROCESSING UNITS , COMPUTER FILES , BATCH PROCESSING , TOOL KITS , COMPUTATIONS , SYMPOSIA , DATA BASES , PARALLEL ORIENTATION
Subject Categories : INFORMATION SCIENCE
COMPUTER PROGRAMMING AND SOFTWARE
Distribution Statement : APPROVED FOR PUBLIC RELEASE