Bioinformatics services for analyzing massive genomic datasets
Genomics & Informatics
;
: e8-2020.
Article
in English
| WPRIM
| ID: wpr-890692
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/.
Full text:
Available
Index:
WPRIM (Western Pacific)
Language:
English
Journal:
Genomics & Informatics
Year:
2020
Type:
Article
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