Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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Bioinformatics services for analyzing massive genomic datasets

  • Ko, Gunhwan (Korea Bioinformation Center (KOBIC), KRIBB) ;
  • Kim, Pan-Gyu (Korea Bioinformation Center (KOBIC), KRIBB) ;
  • Cho, Youngbum (Genome Editing Research Center, KRIBB) ;
  • Jeong, Seongmun (Genome Editing Research Center, KRIBB) ;
  • Kim, Jae-Yoon (Genome Editing Research Center, KRIBB) ;
  • Kim, Kyoung Hyoun (Genome Editing Research Center, KRIBB) ;
  • Lee, Ho-Yeon (Genome Editing Research Center, KRIBB) ;
  • Han, Jiyeon (Department of BioInformation Science, Ewha Womans University) ;
  • Yu, Namhee (Department of BioInformation Science, Ewha Womans University) ;
  • Ham, Seokjin (Department of Life Sciences and Division of Integrative Biosciences & Biotechnology, Pohang University of Science & Technology (POSTECH)) ;
  • Jang, Insoon (Department of Life Sciences and Division of Integrative Biosciences & Biotechnology, Pohang University of Science & Technology (POSTECH)) ;
  • Kang, Byunghee (Department of Life Sciences and Division of Integrative Biosciences & Biotechnology, Pohang University of Science & Technology (POSTECH)) ;
  • Shin, Sunguk (Department of Systems, Biology Division of Life Sciences, and Institute for Life Science and Biotechnology, Yonsei University) ;
  • Kim, Lian (Bioposh Inc.) ;
  • Lee, Seung-Won (SeqGenesis) ;
  • Nam, Dougu (School of Life Sciences, Ulsan National Institute of Science and Technology) ;
  • Kim, Jihyun F. (Department of Systems, Biology Division of Life Sciences, and Institute for Life Science and Biotechnology, Yonsei University) ;
  • Kim, Namshin (Genome Editing Research Center, KRIBB) ;
  • Kim, Seon-Young (Genome Structure Research Center, KRIBB) ;
  • Lee, Sanghyuk (Department of BioInformation Science, Ewha Womans University) ;
  • Roh, Tae-Young (Department of Life Sciences and Division of Integrative Biosciences & Biotechnology, Pohang University of Science & Technology (POSTECH)) ;
  • Lee, Byungwook (Korea Bioinformation Center (KOBIC), KRIBB)
  • Received : 2020.01.09
  • Accepted : 2020.03.11
  • Published : 2020.03.31
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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/.

Keywords

References

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