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# Check the value of 'organism' variable and set 'GENE_MAPPING_STEP' accordingly
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if [[ $organism=="Arabidopsis thaliana" ]];then
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GENE_MAPPING_STEP="Ensembl gene ID mappings were retrieved for each probe using the Plants Ensembl database ftp server (plants.ensembl.org, release 54)."
GENE_MAPPING_STEP="Ensembl gene ID mappings were retrieved for each probe using biomaRt (version ${biomaRt_VERSION}), Ensembl database (ensembl.org, release 107)."
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else
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GENE_MAPPING_STEP="TBD"
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fi
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# Check the value of 'organism' variable and set 'GENE_ANNOTATION_DB' accordingly
template="Data were processed as described in GL-DPPD-7112 ([https://github.com/nasa/GeneLab_Data_Processing/blob/master/Microarray/Agilent_1-channel/Pipeline_GL-DPPD-7112_Versions/GL-DPPD-7112.md]), using NF_MAAgilent1ch version $1 ([https://github.com/nasa/GeneLab_Data_Processing/tree/NF_MAAgilent1ch_$1/Microarray/Agilent_1-channel/Workflow_Documentation/NF_MAAgilent1ch]). In short, a RunSheet containing raw data file location and processing metadata from the study's *ISA.zip file was generated using dp_tools (version ${dp_tools_VERSION}). The raw array data files were loaded into R (version ${R_VERSION}) using limma (version ${limma_VERSION}). Raw data quality assurance density, pseudo image, MA, and foreground-background plots were generated using limma (version ${limma_VERSION}), and boxplots were generated using ggplot2 (version ${ggplot2_VERSION}). The raw intensity data was background corrected and normalized across arrays via the limma (version ${limma_VERSION}) quantile method. Normalized data quality assurance density, pseudo image, and MA plots were generated using limma (version ${limma_VERSION}), and boxplots were generated using ggplot2 (version ${ggplot2_VERSION}). ${GENE_MAPPING_STEP} Differential expression analysis was performed in R (version ${R_VERSION}) using limma (version ${limma_VERSION}); all groups were compared pairwise for each probe to generate a moderated t-statistic and associated p- and adjusted p-value. Gene annotations were assigned using the custom annotation tables generated in-house as detailed in GL-DPPD-7110 ([https://github.com/nasa/GeneLab_Data_Processing/blob/GL_RefAnnotTable_1.0.0/GeneLab_Reference_Annotations/Pipeline_GL-DPPD-7110_Versions/GL-DPPD-7110/GL-DPPD-7110.md]), with STRINGdb (version 2.8.4), PANTHER.db (version 1.0.11), and ${GENE_ANNOTATION_DB} (version 3.15.0)."
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