Bioinformatics services for analyzing massive genomic datasets

Bioinformatics services for analyzing massive genomic datasets

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...

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Bibliographic Details
Main Authors: Gunhwan Ko, Pan-Gyu Kim, Youngbum Cho, Seongmun Jeong, Jae-Yoon Kim, Kyoung Hyoun Kim, Ho-Yeon Lee, Jiyeon Han, Namhee Yu, Seokjin Ham, Insoon Jang, Byunghee Kang, Sunguk Shin, Lian Kim, Seung-Won Lee, Dougu Nam, Jihyun F. Kim, Namshin Kim, Seon-Young Kim, Sanghyuk Lee, Tae-Young Roh, Byungwook Lee
Format: Article
Language:English
Published: Korea Genome Organization 2020-03-01
Series:Genomics & Informatics
Subjects:
analysis pipeline
cloud computing
genomic data
web server
workflow system
Online Access:http://genominfo.org/upload/pdf/gi-2020-18-1-e8.pdf

Internet

http://genominfo.org/upload/pdf/gi-2020-18-1-e8.pdf

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