Skip to main content
. 2020 Feb 13;1(3):100031. doi: 10.1016/j.xplc.2020.100031

Figure 1.

Figure 1

Overview of the Bioinformatics Pipelines Implemented in This Study.

(A) Pre-processing, pre-mapping, mapping, and DEG analysis of 12 transcriptomes.

(B) Pre-processing, data-correction, normalization, and DAM analysis of 12 metabolomes and lipidomes.

(C) KEGG-based integrated pathway analysis of transcriptomes, metabolomes, and lipidomes.

(D) Pre-processing, network construction, and module detection for global co-expression correlation analysis of multi-omes in barley.

DAM, differentially abundant metabolite; DEG, differentially expressed genes; GLM, general linear model; GO, Gene Ontology; HCR, hierarchical clustering; HPC, high performance computation; KO, Kyoto Encyclopedia of Genes and Genomes Ontology; MS, Mass Spectrometry; PCA, principal component analysis; RAP-DB, Rice Annotation Project - Database; RLAwg, within-group relative log adjustment; TAIR, The Arabidopsis Information Resource; TMM, trimmed mean normalization; Z1, zone 1 (meristematic zone); Z2, zone 2 (elongation zone); Z3, zone 3 (maturation zone).