Dataset analysed with DESeq2.  Michael I Love, Wolfgang Huber and Simon Anders (2014): Moderated estimation of fold change and dispersion for RNA-Seq  data with DESeq2. Genome Biology

Raw and mapped deta deposited at GEO under accession GSE91064

DESeq2_output contains:
	hyp2_1 corresponds to tif51A-1 vs BY47471
	hyp2_3 corresponds to tif51A-3 vs BY47471
	baseMean	mean of normalized counts for all samples
	log2FoldChange	log2 fold change (MAP): condition mutant vs BY4741
	lfcMLE "unshrunken" log2 fold change
	lfcSE	standard error
	stat	Wald statistic
	pvalue	Wald test p-value
	padj	BH adjusted p-values

motifs_counts contain the input data for motif analysis.
	pos position from selected motif (nt)
	unum1 unique 5PSeq reads (collapsed by unique molecular identifiers). Replicate 1
	unum2 unique 5PSeq reads (collapsed by unique molecular identifiers). Replicate 2
	unum3 unique 5PSeq reads (collapsed by unique molecular identifiers). Replicate 3
	frame position in respect to the codon frame
	codon motif analysed

summary of motifs added as an excel file.

human_motifs_abundance.txt contains the number  of each motive present in the human proteome. 	Raw data downloaded from Uniprot on November 2016.
	http://www.uniprot.org/uniprot/?query=reviewed%3Ayes+AND+proteome%3Aup000005640