In this research, we propose a pipeline system to identify disease-causal genes in whole exome sequencing data. The pipeline automates the execution of the following steps: 1) initial read data control and cleaning; 2) alignment to a reference genome; 3) post alignment analysis; 4) variant discovery. It also provides a variant analyses tool Exome data analyzer, which allows the users to browse the genomic variations (SNP, Indel, CNV) in multi-scale of genetic regions and easily access to OMIM, dbSNP, DGV, or RefSeq database for discovering variants-related information. Our pipeline offers an easy-to-use graphical interface for submitting and tracking jobs which run on MS Window platform. Through our system non-IT mastered users can access to efficient public open software and biological databases, and quickly perform experiments and analysis for identifying disease-causing gene.