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Management, Analyses, and Distribution of the MaizeCODE Data on the Cloud

MaizeCODE is a project aimed at identifying and analyzing functional elements in the maize genome. In its initial phase, MaizeCODE assayed up to five tissues from four maize strains (B73, NC350, W22, TIL11) by RNA-Seq, Chip-Seq, RAMPAGE, and small RNA sequencing. To facilitate reproducible science a...

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Автори: Liya Wang, Zhenyuan Lu, Melissa delaBastide, Peter Van Buren, Xiaofei Wang, Cornel Ghiban, Michael Regulski, Jorg Drenkow, Xiaosa Xu, Carlos Ortiz-Ramirez, Cristina F. Marco, Sara Goodwin, Alexander Dobin, Kenneth D. Birnbaum, David P. Jackson, Robert A. Martienssen, William R. McCombie, David A. Micklos, Michael C. Schatz, Doreen H. Ware, Thomas R. Gingeras
Формат: Artigo
Мова:Inglês
Опубліковано: Frontiers Media S.A. 2020-03-01
Серія:Frontiers in Plant Science
Предмети:
bioinformatics
functional annotations
cloud computing
ENCODE
workflows
Онлайн доступ:https://www.frontiersin.org/article/10.3389/fpls.2020.00289/full
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