Full metadata record
DC Field | Value | Language |
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dc.citation.number | 1 | - |
dc.citation.title | Genomics and Informatics | - |
dc.citation.volume | 18 | - |
dc.contributor.author | Ko, Gunhwan | - |
dc.contributor.author | Kim, Pan-Gyu | - |
dc.contributor.author | Cho, Youngbum | - |
dc.contributor.author | Jeong, Seongmun | - |
dc.contributor.author | Kim, Jae-Yoon | - |
dc.contributor.author | Kim, Kyoung Hyoun | - |
dc.contributor.author | Lee, Ho-Yeon | - |
dc.contributor.author | Han, Jiyeon | - |
dc.contributor.author | Yu, Namhee | - |
dc.contributor.author | Ham, Seokjin | - |
dc.contributor.author | Jang, Insoon | - |
dc.contributor.author | Kang, Byunghee | - |
dc.contributor.author | Shin, Sunguk | - |
dc.contributor.author | Kim, Lian | - |
dc.contributor.author | Lee, Seung-Won | - |
dc.contributor.author | Nam, Dougu | - |
dc.contributor.author | Kim, Jihyun F. | - |
dc.contributor.author | Kim, Namshin | - |
dc.contributor.author | Kim, Seon-Young | - |
dc.contributor.author | Lee, Sanghyuk | - |
dc.contributor.author | Roh, Tae-Young | - |
dc.contributor.author | Lee, Byungwook | - |
dc.date.accessioned | 2023-12-21T17:46:16Z | - |
dc.date.available | 2023-12-21T17:46:16Z | - |
dc.date.created | 2020-10-19 | - |
dc.date.issued | 2020-03 | - |
dc.description.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 down-stream analysis of genome data. Bio-Express web service is freely available at https://www. bioexpress.re.kr/. © 2020, Korea Genome Organization. | - |
dc.identifier.bibliographicCitation | Genomics and Informatics, v.18, no.1 | - |
dc.identifier.doi | 10.5808/GI.2020.18.1.e8 | - |
dc.identifier.issn | 1598-866X | - |
dc.identifier.scopusid | 2-s2.0-85083251703 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/48357 | - |
dc.identifier.url | https://genominfo.org/journal/view.php?number=599 | - |
dc.language | 영어 | - |
dc.publisher | Korea Genome Organization | - |
dc.title | Bioinformatics services for analyzing massive genomic datasets | - |
dc.type | Article | - |
dc.description.isOpenAccess | TRUE | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Analysis pipeline | - |
dc.subject.keywordAuthor | Cloud computing | - |
dc.subject.keywordAuthor | Genomic data | - |
dc.subject.keywordAuthor | Web server | - |
dc.subject.keywordAuthor | Workflow system | - |
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