Closha 2.0: a bio-workflow design system for massive genome data analysis on high performance cluster infrastructure

Closha 2.0: a bio-workflow design system for massive genome data analysis on high performance cluster infrastructure

Abstract Background The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and significant computational challenges. As the cost of next-generation sequencing (NGS) has decreased, the amount of genomic data has surged globally. However, the cost and comple...

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Bibliographic Details
Main Authors: Gunhwan Ko, Pan-Gyu Kim, Byung-Ha Yoon, JaeHee Kim, Wangho Song, IkSu Byeon, JongCheol Yoon, Byungwook Lee, Young-Kuk Kim
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Bioinformatics
Subjects:
Closha 2.0
Next-generation sequencing (NGS)
Cloud computing
Bioinformatics workflow
High-performance computing (HPC)
Genomic data analysis
Online Access:https://doi.org/10.1186/s12859-024-05963-8
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https://doi.org/10.1186/s12859-024-05963-8

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