Raw data for figures used in manuscript - Highly parallel single-molecule identification of proteins in zeptomole-scale mixtures

<p>Raw Image files used for generating the figures (Fig 2, Fig3, Fig4, Fig5 and Fig6, Supplementary figures, files needed for background subtraction and image processing tutorial (docker image)) in the manuscript -&nbsp;Highly parallel single-molecule identification of proteins in zeptomole-scale mixtures</p> <p>Use command tar xfz[v] *.tar.gz to retain the file structure. &nbsp;</p> <p>Docker image in image processing tutorial works on Linux platforms only.</p> <p>File structure after un-compressing each *.tar.gz is as follows -&nbsp;</p> <p>1. acetylated_background_signalsFiles.tar.gz</p> <p>&nbsp; &nbsp; - Folders for the different experiments with the name expt[1..30]</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- *SIGNALS.pkl - Pickle file (python encoded) containing the information of the histogram&nbsp;of the peptide step-drops</p> <p>&nbsp; &nbsp; &nbsp;-&nbsp;acetylated_backgroundFiles_list.csv (file formatted for performing iterative_background.py)</p> <p>&nbsp; &nbsp; &nbsp;- README.txt (information on the contents and the use of the files in the directory)</p> <p>2. fig2.tar.gz</p> <p>&nbsp; &nbsp; &nbsp;- fig2A/&nbsp;(contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- fig2B/ (contains raw image folders, processed_results and README.txt)</p> <p>2. fig3and4.tar.gz</p> <p>&nbsp; &nbsp; &nbsp;- acPeptide_label-2-5/&nbsp;(contains raw image folders, processed_results)</p> <p>&nbsp; &nbsp; &nbsp;- bocPeptide_label-2-5/ (contains raw image folders, processed_results)</p> <p>&nbsp; &nbsp; &nbsp;- README.txt</p> <p>3. fig5.tar.gz</p> <p>&nbsp; &nbsp; &nbsp;- fig5A_panel1/ (contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- fig5A_panel2/ (contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- fig5B_A2/&nbsp;(contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- fig5B_A3/ (contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- fig5B_B1/ (contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- fig5B_B2/&nbsp;(contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- fig5C/ (contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- fig5D/&nbsp;(contains raw image folders, processed_results and README.txt)</p> <p>5. fig6.tar.gz</p> <p>&nbsp; &nbsp; &nbsp;- fig6B_top/ (contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- fig6B_bottom/ (contains raw image folders, processed_results and README.txt)</p> <p>6. fig_supplementary08.tar.gz</p> <p>&nbsp; &nbsp; &nbsp;-&nbsp;(contains raw image folders, processed_results and README.txt)</p> <p>7. fig_supplementart12.tar.gz</p> <p>&nbsp; &nbsp; &nbsp;- supplementary_fig14A/ (contains raw image folders, processed_results and README.txt)</p> <p>&nbsp; &nbsp; &nbsp;- supplementary_fig14B/ (contains raw image folders, processed_results and README.txt)</p> <p>8. imageProcessingTutorial.tar.gz</p> <p>&nbsp; &nbsp; &nbsp;-&nbsp;walkthrough_docker_image.tar.xz (contains the docker image with necessary code pre-installed. Includes small example dataset; Works only in linux docker and not macOS)</p> <p>&nbsp; &nbsp; &nbsp;- README.txt (information on the image processing tutorial).&nbsp;</p>