Genomics Inform.  2020 Mar;18(1):e8. 10.5808/GI.2020.18.1.e8.

Bioinformatics services for analyzing massive genomic datasets

• Ko G
• Kim PG
• Cho Y
• Jeong S
• Kim JY
• Kim KH
• Lee HY
• Han J
• Yu N
• Ham S
• Jang I
• Kang B
• Shin S
• Kim L
• Lee SW
• Nam D
• Kim JF
• Kim N
• Kim SY
• Lee S
• Roh TY
• Lee B

• KMID: 2501328
• DOI: http://doi.org/10.5808/GI.2020.18.1.e8

Abstract

The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and ensuing computational problems. In Korea, the amount of genomic data has been increasing rapidly in the recent years. Leveraging these big data requires researchers to use large-scale computational resources and analysis pipelines. A promising solution for addressing this computational challenge is cloud computing, where CPUs, memory, storage, and programs are accessible in the form of virtual machines. Here, we present a cloud computing-based system, Bio-Express, that provides user-friendly, cost-effective analysis of massive genomic datasets. Bio-Express is loaded with predefined multi-omics data analysis pipelines, which are divided into genome, transcriptome, epigenome, and metagenome pipelines. Users can employ predefined pipelines or create a new pipeline for analyzing their own omics data. We also developed several web-based services for facilitating downstream analysis of genome data. Bio-Express web service is freely available at https://www.bioexpress.re.kr/.

Keyword

analysis pipeline; cloud computing; genomic data; web server; workflow system