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...
Saved in:
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: |
BioMed Central
2020-03-01
|
Series: | Genomics & Informatics |
Subjects: | |
Online Access: | http://genominfo.org/upload/pdf/gi-2020-18-1-e8.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bioinformatics Interpretation of Exome Sequencing: Blood Cancer
by: Jiwoong Kim, et al.
Published: (2013-03-01) -
ERRATUM: Acknowledgments Correction. Bioinformatics Interpretation of Exome Sequencing: Blood Cancer
by: Jiwoong Kim, et al.
Published: (2013-06-01) -
Windows Server 2019 administration fundamentals : a beginner's guide to managing and administering windows server environments /
by: Dauti, Bekim
Published: (2019) -
Illicium verum Extract and Trans-Anethole Attenuate Ovalbumin-Induced Airway Inflammation via Enhancement of Foxp3+ Regulatory T Cells and Inhibition of Th2 Cytokines in Mice
by: Yoon-Young Sung, et al.
Published: (2017-01-01) -
Validity of patient-derived xenograft mouse models for lung cancer based on exome sequencing data
by: Jaewon Kim, et al.
Published: (2020-03-01)