About this Research Topic
The purpose of this Research Topic call is to explore new methods and resources by which a researcher can compile and use all relevant, publicly-available data associated their loci and trait of interest.
The topic welcomes Original Research and Reviews related to the digitizing plant breeding for cereal, horticultural, and other crop species. Example sub-topics include:
• Reducing redundant allele discovery in pathogen resistance mapping
• Connecting transcriptome data to discovered QTLs
• Integrating new genome assemblies into plant genetic analysis
• Interchangeable data formats and structures for ‘-omics’ resources
• Ontologies versus AI-driven feature detection
• Causal-variant/Functional-marker prediction
Keywords: big data, genomics, transcriptomics, QTL mapping, plant breeding, digitizing, bioinformatics
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.