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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2020-03-01
Schriftenreihe:Frontiers in Plant Science
Schlagworte:
bioinformatics
functional annotations
cloud computing
ENCODE
workflows
Online-Zugang:https://www.frontiersin.org/article/10.3389/fpls.2020.00289/full
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