{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pepsirf-a-flexible-and-comprehensive-tool-for","title":"PepSIRF: a flexible and comprehensive tool for the analysis of data from highly-multiplexed DNA-barcoded peptide assays","arxiv_id":"2007.05050","date":"2020-07-09","proceeding":null,"authors":["Zane W. Fink","Vidal Martinez","John Altin","Jason T. Ladner"],"abstract":"By coupling peptides with DNA tags (i.e., 'barcodes'), it is now possible to harness high-throughput sequencing (HTS) technologies to enable highly multiplexed peptide-based assays, which have a variety of potential applications including broad characterization of the epitopes recognized by antibodies. While the processing of HTS data, in general, is already well supported, there are very few software tools that have been developed for working with data generated in these highly-multiplexed peptide assays. In order to fill this gap, we present PepSIRF (Peptide-based Serological Immune Response Framework), which is a flexible and comprehensive software package designed specifically for the analysis of HTS data from highly-multiplexed peptide-based assays.","url_abs":"https://arxiv.org/abs/2007.05050v1","url_pdf":"https://arxiv.org/pdf/2007.05050v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"pepsirf-a-flexible-and-comprehensive-tool-for","repo_url":"https://github.com/LadnerLab/PepSIRF","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}