<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Abbasova L</submitter><funding>Medical Research Council</funding><funding>Alzheimer&amp;apos;s Association</funding><pagination>2993</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11950320</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>16(1)</volume><pubmed_abstract>DNA-protein interactions have traditionally been profiled via chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq). Cleavage Under Targets &amp; Tagmentation (CUT&amp;Tag) is a rapidly expanding technique that enables the profiling of such interactions in situ at high sensitivity. However, thorough evaluation and benchmarking against established ChIP-seq datasets are lacking. Here, we comprehensively benchmarked CUT&amp;Tag for H3K27ac and H3K27me3 against published ChIP-seq profiles from ENCODE in K562 cells. Combining multiple new and published CUT&amp;Tag datasets, there was an average recall of 54% known ENCODE peaks for both histone modifications. We tested peak callers MACS2 and SEACR and identified optimal peak calling parameters. Overall, peaks identified by CUT&amp;Tag repr</pubmed_abstract><journal>Nature communications</journal><pubmed_title>CUT&amp;amp;Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks.</pubmed_title><pmcid>PMC11950320</pmcid><funding_grant_id>ADSF-21-829660-C</funding_grant_id><funding_grant_id>MR/W004984/1</funding_grant_id><pubmed_authors>Ismail JN</pubmed_authors><pubmed_authors>Hu D</pubmed_authors><pubmed_authors>Skene NG</pubmed_authors><pubmed_authors>Abbasova L</pubmed_authors><pubmed_authors>Schilder BM</pubmed_authors><pubmed_authors>Urbanaviciute P</pubmed_authors><pubmed_authors>Marzi SJ</pubmed_authors><pubmed_authors>Nott A</pubmed_authors></additional><is_claimable>false</is_claimable><name>CUT&amp;amp;Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks.</name><description>DNA-protein interactions have traditionally been profiled via chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq). Cleavage Under Targets &amp; Tagmentation (CUT&amp;Tag) is a rapidly expanding technique that enables the profiling of such interactions in situ at high sensitivity. However, thorough evaluation and benchmarking against established ChIP-seq datasets are lacking. Here, we comprehensively benchmarked CUT&amp;Tag for H3K27ac and H3K27me3 against published ChIP-seq profiles from ENCODE in K562 cells. Combining multiple new and published CUT&amp;Tag datasets, there was an average recall of 54% known ENCODE peaks for both histone modifications. We tested peak callers MACS2 and SEACR and identified optimal peak calling parameters. Overall, peaks identified by CUT&amp;Tag repr</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2026-06-02T06:35:07.84Z</modification><creation>2026-04-15T03:15:32.414Z</creation></dates><accession>S-EPMC11950320</accession><cross_references><pubmed>40148272</pubmed><doi>10.1038/s41467-025-58137-2</doi></cross_references></HashMap>