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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Detalles Bibliográficos
Autores principales: Ko, Gunhwan, Kim, Pan-Gyu, Cho, Youngbum, Jeong, Seongmun, Kim, Jae-Yoon, Kim, Kyoung Hyoun, Lee, Ho-Yeon, Han, Jiyeon, Yu, Namhee, Ham, Seokjin, Jang, Insoon, Kang, Byunghee, Shin, Sunguk, Kim, Lian, Lee, Seung-Won, Nam, Dougu, Kim, Jihyun F., Kim, Namshin, Kim, Seon-Young, Lee, Sanghyuk, Roh, Tae-Young, Lee, Byungwook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120352/
https://www.ncbi.nlm.nih.gov/pubmed/32224841
http://dx.doi.org/10.5808/GI.2020.18.1.e8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120352/
https://www.ncbi.nlm.nih.gov/pubmed/32224841
http://dx.doi.org/10.5808/GI.2020.18.1.e8

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