A CyVerse Powered Data Coordination Center (DCC) for MaizeCODE

MaizeCODE is funded for initializing functional annotation of four maize lines (B73, W22, NC350, and Til11), including novel assemblies of both NC350 and Til11, and performing various assays (RNA-Seq, Methyl-Seq, and Chip-Seq) on five tissues (root, shoot, ear, pollen, and endo). Collectively, over 400 libraries will be sequenced and data will be collected, analyzed and shared to the community through the Data Coordination Center (DCC). DCC is adopting ENCODE’s snovault system for metadata collection and management, and using SciApps.org, a CyVerse federation system, for managing automated scientific workflows, performing data analysis, hosting both raw reads and processed data, and synchronizing with CyVerse infrastructure. DCC will build metadata models specifically for plants for collecting metadata from production labs, and build scientific workflows for analysis of all assays. For data analysis, DCC will pass both raw reads and metadata to SciApps.org for running the scientific workflows, and retrieve processed results and metadata back automatically. Once passing quality control, data will be released and deposited into CyVerse data common for the community to access. CyVerse users can use the uniform scientific workflows constructed by the DCC to re-process all MaizeCODE data or their own datasets in CyVerse DE, directly through Agave API, or automatically at SciApps.org.