Boekel J, Chilton JM, Cooke IR, Horvatovich PL, Jagtap PD, Käll L, Lehtiö J, Lukasse P, Moerland, Griffin TJ. Multi-omic data analysis using Galaxy. Communication, Nature Biotechnol. 2015 Feb 6;33(2):137-9.
Boekel J, Chilton J, Cooke I, Horvatovich P, Jagtap P, Käll L, et al Nature Biotechnology
Comprehensive multi-omic data acquisition has become a reality, largely driven by the availability of high-throughput sequencing technologies for genomes and transcriptomes1, and high-resolution mass spectrometry (MS)2, 3 for the in-depth characterization of proteomes and metabolomes. Integrating genomic and proteomic data enables proteogenomic4 and metaproteomic5 approaches, whereas integrating metabolomic and transcriptomic or proteomic data links biochemical activity profiles to expressed genes and proteins6. Despite the potential for new discoveries, integrated analysis of raw multi-omic data is an often overlooked challenge7, demanding the use of disparate software programs and requiring computational resources beyond the capacity of most biological research laboratories. For these reasons, multi-omic approaches remain out of reach for many. Here, we describe how Galaxy8 can be used as one solution to this problem.