TY - JOUR
T1 - IPEAP
T2 - Integrating multiple omics and genetic data for pathway enrichment analysis
AU - Sun, Haoqi
AU - Wang, Haiping
AU - Zhu, Ruixin
AU - Tang, Kailin
AU - Gong, Qin
AU - Cui, Juan
AU - Cao, Zhiwei
AU - Liu, Qi
N1 - Funding Information:
Funding: National Natural Science Foundation of China (31100956 and 61173117) and National 863 program (2012AA020405 and 2012AA011005).
PY - 2014/3
Y1 - 2014/3
N2 - A challenge in biodata analysis is to understand the underlying phenomena among many interactions in signaling pathways. Such study is formulated as the pathway enrichment analysis, which identifies relevant pathways functional enriched in highthroughput data. The question faced here is how to analyze different data types in a unified and integrative way by characterizing pathways that these data simultaneously reveal. To this end, we developed integrative Pathway Enrichment Analysis Platform, iPEAP, which handles transcriptomics, proteomics, metabolomics and GWAS data under a unified aggregation schema. iPEAP emphasizes on the ability to aggregate various pathway enrichment results generated in different high-throughput experiments, as well as the quantitative measurements of different ranking results, thus providing the first benchmark platform for integration, comparison and evaluation of multiple types of data and enrichment methods.
AB - A challenge in biodata analysis is to understand the underlying phenomena among many interactions in signaling pathways. Such study is formulated as the pathway enrichment analysis, which identifies relevant pathways functional enriched in highthroughput data. The question faced here is how to analyze different data types in a unified and integrative way by characterizing pathways that these data simultaneously reveal. To this end, we developed integrative Pathway Enrichment Analysis Platform, iPEAP, which handles transcriptomics, proteomics, metabolomics and GWAS data under a unified aggregation schema. iPEAP emphasizes on the ability to aggregate various pathway enrichment results generated in different high-throughput experiments, as well as the quantitative measurements of different ranking results, thus providing the first benchmark platform for integration, comparison and evaluation of multiple types of data and enrichment methods.
UR - http://www.scopus.com/inward/record.url?scp=84897674937&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897674937&partnerID=8YFLogxK
U2 - 10.1093/bioinformatics/btt576
DO - 10.1093/bioinformatics/btt576
M3 - Article
C2 - 24092766
AN - SCOPUS:84897674937
VL - 30
SP - 737
EP - 739
JO - Bioinformatics
JF - Bioinformatics
SN - 1367-4803
IS - 5
ER -