<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Zhang Z</submitter><funding>NCI NIH HHS</funding><pubmed_abstract>Epigenomic profiling of circulating chromatin is a powerful and minimally invasive approach for detecting and monitoring disease, but there are no bioinformatics pipelines tailored to the unique characteristics of cell-free chromatin. We present SNAP (Streamlined Nextflow Analysis Pipeline), a reproducible, scalable, and modular workflow specifically designed for immunoprecipitation-based methods for profiling cell-free chromatin. SNAP incorporates quality control metrics optimized for circulating chromatin, including enrichment score and fragment count thresholds, as well as direct estimation of circulating tumor DNA (ctDNA) content from fragment length distributions. It also includes SNP fingerprinting to enable sample identity verification. When applied to cfChIP-seq and cfMeDIP-seq dat</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2025.12.30.694452</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12776326</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>SNAP: Streamlined Nextflow Analysis Pipeline for Immunoprecipitation-Based Epigenomic Profiling of Circulating Chromatin.</pubmed_title><pmcid>PMC12776326</pmcid><funding_grant_id>U01 CA296432</funding_grant_id><pubmed_authors>Canniff J</pubmed_authors><pubmed_authors>Savignano H</pubmed_authors><pubmed_authors>Semaan K</pubmed_authors><pubmed_authors>Osei-Hwedieh D</pubmed_authors><pubmed_authors>Da Silva Cordeiro P</pubmed_authors><pubmed_authors>Nawfal R</pubmed_authors><pubmed_authors>Baca SC</pubmed_authors><pubmed_authors>Chhetri SB</pubmed_authors><pubmed_authors>Gulati G</pubmed_authors><pubmed_authors>Weiss KR</pubmed_authors><pubmed_authors>Bian W</pubmed_authors><pubmed_authors>Heim TE</pubmed_authors><pubmed_authors>Fortunato B</pubmed_authors><pubmed_authors>Painter C</pubmed_authors><pubmed_authors>Vasseur D</pubmed_authors><pubmed_authors>Chehade REH</pubmed_authors><pubmed_authors>Seo JH</pubmed_authors><pubmed_authors>Jin Z</pubmed_authors><pubmed_authors>Phillips N</pubmed_authors><pubmed_authors>Eid M</pubmed_authors><pubmed_authors>Freedman ML</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Sotudian S</pubmed_authors><pubmed_authors>Hemauer C</pubmed_authors><pubmed_authors>Lee GG</pubmed_authors></additional><is_claimable>false</is_claimable><name>SNAP: Streamlined Nextflow Analysis Pipeline for Immunoprecipitation-Based Epigenomic Profiling of Circulating Chromatin.</name><description>Epigenomic profiling of circulating chromatin is a powerful and minimally invasive approach for detecting and monitoring disease, but there are no bioinformatics pipelines tailored to the unique characteristics of cell-free chromatin. We present SNAP (Streamlined Nextflow Analysis Pipeline), a reproducible, scalable, and modular workflow specifically designed for immunoprecipitation-based methods for profiling cell-free chromatin. SNAP incorporates quality control metrics optimized for circulating chromatin, including enrichment score and fragment count thresholds, as well as direct estimation of circulating tumor DNA (ctDNA) content from fragment length distributions. It also includes SNP fingerprinting to enable sample identity verification. When applied to cfChIP-seq and cfMeDIP-seq dat</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-04T03:20:29.375Z</modification><creation>2026-06-04T03:12:51.259Z</creation></dates><accession>S-EPMC12776326</accession><cross_references><pubmed>41509217</pubmed><doi>10.64898/2025.12.30.694452</doi></cross_references></HashMap>