Processed data for the sRNA landscape chapter

<strong>Processed data to be used in analyses related to the sRNA landscape. </strong> <strong>1) small RNA processed data from stem trichomes</strong>: 2020-12-17_11-23_results_stem_trichomes.tar.gz Original small RNA-seq fastq files: available at https://doi.org/10.5281/zenodo.4105911 Software: small-rna-seq-pipeline v0.4.4 available at https://zenodo.org/record/4333786 <strong>2) small RNA processed data from bald stem, leaf primordium and leaf: </strong> xxxx === to be added === xxx <strong>3) mRNA-seq processed data (raw and scaled counts) from different tissues (stem trichomes, bald stem, leaf, leaf primordium): </strong> 20201117_snakemake_messenger_rnaseq_trichomes_and_other_tissues.tar.gz This file was obtained from the following original mRNA-seq fastq files: Stem trichomes of Moneymaker: dataset available here Stem trichomes of LA0716: dataset available here Stem trichomes of PI127826: dataset available here Bald stems, leaf primordia and leaves of Moneymaker, LA0716 and PI127826: datasets are available here. Samples S28 to S48 were used. The pipeline used was Snakemake RNA-seq release 0.3.4 The file contains: raw_counts.parsed.tsv: contains the raw counts that can be used for differential expression analysis (e.g. with DESeq2). scaled_counts.tsv: contains counts that are scaled between samples. This can be used for heatmap creation or PCA analysis for instance. NOT for differential analysis. samples.tsv.: a file listing the fastq files analysed. config.yaml: a file that contains the parameters used when running the pipeline.