Replication Data for: Recovery and deep sequencing of short ssDNA pools from transient, fuel-dependent coacervate droplets

Raw and processed data for the manuscript 'Recovery and deep sequencing of short ssDNA pools from transient, fuel-dependent coacervate droplets'. Author list: Anna-Lena Holtmannspoetter*, Corbin Machatzke*, Job Boekhoven#, Hannes Mutschler# *authors contributed equally #co-corresponding authors All scripts used to generate the data can be found at: github.com/hmutschler/droplet-dna-analysis The data is structured in the following folders: 'raw_data', which contains the raw sequencing reads as FASTQ files (three samples and one unidentified sample, each with R1 and R2 reads), 'cut_adap', which contains the sequencing reads after adapter trimming, in .FASTQ format (three samples, each R1 and R2 read), 'len_fil', which contains the sequencing reads after length filtering, in .FASTQ format (three samples, each with R1 and R2 reads), 'per_base_content', which contains the output files from analysing nucleotide content as .PDF files (7 figures), 'mfe', which contains the original 'file_list.txt' required for the analysis script, the output data from the analysis script in .txt format (three samples, four files each) and the output figure in .pdf format, 'streme_output', which contains the output from MEME Suite's STREME software: a file containing all motif data in .txt format and output data from the analysis script in .pdf format, 'structure', which contains the output files from the RNAshapes analysis as .txt files (three samples) and the output figures from the analysis script as .pdf files (two figures).

The same dataset was also used in the following study: Machatzke, C., Holtmannspötter, A.-L., Mutschler, H. and Boekhoven, J. (2025). DNA affects the phenotype of fuel-dependent coacervate droplets'. chemrxiv.org/engage/chemrxiv/article-details/68a63016a94eede154afd83c.