References
Ahdesmäki, Miika J., Simon R. Gray, Justin H. Johnson, and Zhongwu Lai.
2016. “Disambiguate: An Open-Source Application for Disambiguating
Two Species in Next Generation Sequencing Data from Grafted
Samples.” F1000Research 5: 2741. https://doi.org/10.12688/f1000research.10082.2.
Amemiya, Haley M., Anshul Kundaje, and Alan P. Boyle. 2019. “The
ENCODE Blacklist: Identification of Problematic Regions of
the Genome.” Scientific Reports 9: 9354. https://doi.org/10.1038/s41598-019-45839-z.
Bailey, Timothy L., and Charles E. Grant. 2021. SEA:
Simple Enrichment Analysis of Motifs. bioRxiv preprint. https://doi.org/10.1101/2021.08.23.457422.
Barrett, Tanya, Stephen E. Wilhite, Pierre Ledoux,
Carlos Evangelista, Irene F. Kim, et al. 2013. “NCBI
GEO: Archive for Functional Genomics Data Sets—Update.”
Nucleic Acids Research 41 (D1): D991–95. https://doi.org/10.1093/nar/gks1193.
Barski, Artem, Suresh Cuddapah, Kairong Cui,
Tae-Young Roh, Dustin E. Schones, et al. 2007.
“High-Resolution Profiling of Histone Methylations in the Human
Genome.” Cell 129 (4): 823–37. https://doi.org/10.1016/j.cell.2007.05.009.
Boogerd, Cornelis J., Ilaria Perini, Eirini
Kyriakopoulou, Su Ji Han, Phit La, et al. 2023.
“Cardiomyocyte Proliferation Is Suppressed by
ARID1A-Mediated YAP Inhibition During Cardiac
Maturation.” Nature Communications 14 (1): 4716. https://doi.org/10.1038/s41467-023-40203-2.
Bressan, Davide, Daniel Fernández-Pérez, Alessandro Romanel, and Fulvio
Chiacchiera. 2024. “SpikeFlow: Automated and Flexible
Analysis of ChIP-Seq Data with Spike-in Control.”
NAR Genomics and Bioinformatics 6 (3): lqae118. https://doi.org/10.1093/nargab/lqae118.
Broad Institute. 2019. Picard Toolkit. Https://broadinstitute.github.io/picard/.
Buenrostro, Jason D., Paul G. Giresi, Lisa C. Zaba, Howard Y. Chang, and
William J. Greenleaf. 2013. “Transposition of Native Chromatin for
Fast and Sensitive Epigenomic Profiling of Open Chromatin,
DNA-Binding Proteins and Nucleosome Position.”
Nature Methods 10 (12): 1213–18. https://doi.org/10.1038/nmeth.2688.
Burgin, Josephine, Alisha Ahamed, Carla Cummins,
Rajkumar Devraj, Khadim Gueye, et al. 2023. “The
European Nucleotide Archive in 2022.” Nucleic
Acids Research 51 (D1): D121–25. https://doi.org/10.1093/nar/gkac1051.
Cavalcante, Raymond G., and Maureen A. Sartor. 2017. “Annotatr:
Genomic Regions in Context.” Bioinformatics 33 (15):
2381–83. https://doi.org/10.1093/bioinformatics/btx183.
Chen, Kaifu, Zheng Hu, Zheng Xia, Dongyu Zhao, Wei Li, and Jessica K.
Tyler. 2016. “The Overlooked Fact: Fundamental Need for Spike-in
Control for Virtually All Genome-Wide Analyses.” Molecular
and Cellular Biology 36 (5): 662–67. https://doi.org/10.1128/MCB.00970-14.
Corces, M. Ryan, Alexandro E. Trevino, Emily G.
Hamilton, Peyton G. Greenside, Nicholas A. Sinnott-Armstrong, et
al. 2017. “An Improved ATAC-seq
Protocol Reduces Background and Enables Interrogation of Frozen
Tissues.” Nature Methods 14 (10): 959–62. https://doi.org/10.1038/nmeth.4396.
Creyghton, Menno P., Albert W. Cheng, G. Grant
Welstead, Tristan Kooistra, Bryce W. Carey, et al. 2010.
“Histone H3K27ac Separates Active from Poised
Enhancers and Predicts Developmental State.” Proceedings of
the National Academy of Sciences of the USA 107 (50): 21931–36. https://doi.org/10.1073/pnas.1016071107.
deepTools developers. 2026. bamCoverage Documentation. Https://deeptools.readthedocs.io/en/develop/content/tools/bamCoverage.html.
Diaz, Aaron, Kiyoub Park, Daniel A. Lim, and Jun S. Song. 2012.
“Normalization, Bias Correction, and Peak Calling for ChIP-seq.” Statistical Applications in
Genetics and Molecular Biology 11 (3): Article 9. https://doi.org/10.1515/1544-6115.1750.
ENCODE Data Coordination Center. 2026. ENCODE ChIP-seq Pipeline (Chip-Seq-Pipeline2). Https://github.com/ENCODE-DCC/chip-seq-pipeline2.
ENCODE Project Consortium. 2026a. ATAC-seq Data Standards and Processing
Pipeline. Https://www.encodeproject.org/atac-seq/.
ENCODE Project Consortium. 2026b. Histone ChIP-seq Data Standards and Processing
Pipeline. Https://www.encodeproject.org/chip-seq/histone/.
ENCODE Project Consortium. 2026c. Terms and Definitions: Quality
Metrics. Https://www.encodeproject.org/data-standards/terms/.
ENCODE Project Consortium. 2026d. Whole-Genome Bisulfite Sequencing
(WGBS) Data Standards. Https://www.encodeproject.org/data-standards/wgbs/.
Ewels, Philip, Måns Magnusson, Sverker Lundin, and Max Käller. 2016.
“MultiQC: Summarize Analysis Results for Multiple
Tools and Samples in a Single Report.” Bioinformatics 32
(19): 3047–48. https://doi.org/10.1093/bioinformatics/btw354.
Frankish, Adam, Sílvia Carbonell-Sala, Mark
Diekhans, Irwin Jungreis, Jane E. Loveland, et al. 2023.
“GENCODE: Reference Annotation for the Human and
Mouse Genomes in 2023.” Nucleic Acids Research 51 (D1):
D942–49. https://doi.org/10.1093/nar/gkac1071.
Frommer, Marianne, Louise E. McDonald, Douglas S.
Millar, Christina M. Collis, Fujiko Watt, et al. 1992. “A
Genomic Sequencing Protocol That Yields a Positive Display of
5-Methylcytosine Residues in Individual DNA
Strands.” Proceedings of the National Academy of Sciences of
the USA 89 (5): 1827–31. https://doi.org/10.1073/pnas.89.5.1827.
Fulco, Charles P., Joseph Nasser, Thouis R. Jones,
Glen Munson, Drew T. Bergman, et al. 2019.
“Activity-by-Contact Model of Enhancer–Promoter Regulation from
Thousands of CRISPR Perturbations.” Nature
Genetics 51 (12): 1664–69. https://doi.org/10.1038/s41588-019-0538-0.
Fursova, Nadezda A., Neil P. Blackledge, Manabu
Nakayama, Shinsuke Ito, Yoko Koseki, et al. 2019. “Synergy
Between Variant PRC1 Complexes Defines
Polycomb-Mediated Gene Repression.” Molecular
Cell 74 (5): 1020–1036.e8. https://doi.org/10.1016/j.molcel.2019.03.024.
Gene Ontology Consortium. 2023. “The Gene Ontology
Knowledgebase in 2023.” Genetics 224 (1): iyad031. https://doi.org/10.1093/genetics/iyad031.
Grandi, Fiorella C., Hailey Modi, Lucas Kampman, and M. Ryan Corces.
2022. “Chromatin Accessibility Profiling by ATAC-seq.” Nature Protocols 17
(6): 1518–52. https://doi.org/10.1038/s41596-022-00692-9.
GREAT team. 2026. GREAT Help: Output and Statistics
Pages. Output: https://great-help.atlassian.net/wiki/spaces/GREAT/pages/655462/Output;
Statistics: https://great-help.atlassian.net/wiki/spaces/GREAT/pages/655456/Statistics.
Gschwind, Andreas R., Kristy S. Mualim, Alireza
Karbalayghareh, Maya U. Sheth, Kushal K. Dey, et al. 2026.
“An Encyclopedia of Human Enhancer–Gene Regulatory
Interactions.” Nature 657 (8130): 179–90. https://doi.org/10.1038/s41586-026-10781-4.
Gu, Hongcang, Zachary D. Smith, Christoph Bock, Patrick Boyle, Andreas
Gnirke, and Alexander Meissner. 2011. “Preparation of Reduced
Representation Bisulfite Sequencing Libraries for Genome-Scale
DNA Methylation Profiling.” Nature
Protocols 6 (4): 468–81. https://doi.org/10.1038/nprot.2010.190.
Heinz, Sven, Christopher Benner, Nathanael Spann,
Eric Bertolino, Yin C. Lin, et al. 2010. “Simple
Combinations of Lineage-Determining Transcription Factors Prime
Cis-Regulatory Elements Required for Macrophage and B Cell
Identities.” Molecular Cell 38 (4): 576–89. https://doi.org/10.1016/j.molcel.2010.05.004.
HOMER. 2026. Finding Enriched Motifs in Genomic Regions
(findMotifsGenome.pl). Http://homer.ucsd.edu/homer/ngs/peakMotifs.html.
Hu, Mengwen, Yu-Han Yeh, So Maezawa, Toshinori Nakagawa, Shosei Yoshida,
and Satoshi H. Namekawa. 2024. “PRC1 Directs
PRC2-H3K27me3 Deposition to Shield Adult Spermatogonial
Stem Cells from Differentiation.” Nucleic Acids Research
52 (5): 2306–22. https://doi.org/10.1093/nar/gkad1203.
Irizarry, Rafael A., Christine Ladd-Acosta, Bo Wen,
Zhijin Wu, Carolina Montano, et al. 2009. “The Human Colon
Cancer Methylome Shows Similar Hypo- and Hypermethylation at Conserved
Tissue-Specific CpG Island Shores.” Nature
Genetics 41 (2): 178–86. https://doi.org/10.1038/ng.298.
Johnson, David S., Ali Mortazavi, Richard M. Myers, and Barbara Wold.
2007. “Genome-Wide Mapping of in Vivo Protein-DNA
Interactions.” Science 316 (5830): 1497–502. https://doi.org/10.1126/science.1141319.
Katz, Kenneth, Oleg Shutov, Richard Lapoint, Michael Kimelman, J. Rodney
Brister, and Christopher O’Sullivan. 2022. “The Sequence
Read Archive: A Decade More of Explosive Growth.”
Nucleic Acids Research 50 (D1): D387–90. https://doi.org/10.1093/nar/gkab1053.
Kaya-Okur, Hatice S., Steven J. Wu, Christine A.
Codomo, Erica S. Pledger, Terri D. Bryson, et al. 2019.
“CUT&Tag for Efficient Epigenomic Profiling of
Small Samples and Single Cells.” Nature Communications
10 (1): 1930. https://doi.org/10.1038/s41467-019-09982-5.
Kent, W. James, Charles W. Sugnet, Terrence S.
Furey, Krishna M. Roskin, Tom H. Pringle, et al. 2002. “The
Human Genome Browser at UCSC.” Genome
Research 12 (6): 996–1006. https://doi.org/10.1101/gr.229102.
Kent, W. James, Ann S. Zweig, Galt Barber, Angie S. Hinrichs, and Donna
Karolchik. 2010. “BigWig and BigBed:
Enabling Browsing of Large Distributed Datasets.”
Bioinformatics 26 (17): 2204–7. https://doi.org/10.1093/bioinformatics/btq351.
Kharchenko, Peter V., Michael Y. Tolstorukov, and Peter J. Park. 2008.
“Design and Analysis of ChIP-seq
Experiments for DNA-Binding Proteins.” Nature
Biotechnology 26 (12): 1351–59. https://doi.org/10.1038/nbt.1508.
Korthauer, Keegan, Sutirtha Chakraborty, Yuval Benjamini, and Rafael A.
Irizarry. 2019. “Detection and Accurate False Discovery Rate
Control of Differentially Methylated Regions from Whole Genome Bisulfite
Sequencing.” Biostatistics 20 (3): 367–83. https://doi.org/10.1093/biostatistics/kxy007.
Krueger, Felix. 2023. Trim Galore. Https://github.com/FelixKrueger/TrimGalore.
Krueger, Felix. 2026a. Bismark Documentation: Deduplication. Https://felixkrueger.github.io/Bismark/usage/deduplication/.
Krueger, Felix. 2026b. Trim Galore: RRBS Guide,
Directional Libraries. Https://trimgalore.com/rrbs/directional/.
Landt, Stephen G., Georgi K. Marinov, Anshul
Kundaje, Pouya Kheradpour, Florencia Pauli, et al. 2012.
“ChIP-seq Guidelines and Practices of
the ENCODE and modENCODE
Consortia.” Genome Research 22 (9): 1813–31. https://doi.org/10.1101/gr.136184.111.
Langmead, Ben, and Steven L. Salzberg. 2012. “Fast Gapped-Read
Alignment with Bowtie 2.” Nature Methods 9
(4): 357–59. https://doi.org/10.1038/nmeth.1923.
Leek, Jeffrey T., Robert B. Scharpf, Héctor Corrada
Bravo, David Simcha, Benjamin Langmead, et al. 2010.
“Tackling the Widespread and Critical Impact of Batch Effects in
High-Throughput Data.” Nature Reviews Genetics 11 (10):
733–39. https://doi.org/10.1038/nrg2825.
Li, Heng, Bob Handsaker, Alec Wysoker, Tim Fennell,
Jue Ruan, et al. 2009. “The Sequence Alignment/Map Format
and SAMtools.” Bioinformatics 25 (16):
2078–79. https://doi.org/10.1093/bioinformatics/btp352.
Li, Qunhua, James B. Brown, Haiyan Huang, and Peter J. Bickel. 2011.
“Measuring Reproducibility of High-Throughput Experiments.”
The Annals of Applied Statistics 5 (3): 1752–79. https://doi.org/10.1214/11-AOAS466.
Lister, Ryan, Mattia Pelizzola, Robert H. Dowen, R.
David Hawkins, Gary Hon, et al. 2009. “Human
DNA Methylomes at Base Resolution Show Widespread
Epigenomic Differences.” Nature 462 (7271): 315–22. https://doi.org/10.1038/nature08514.
Love, Michael I., Simon Anders, and Wolfgang Huber. 2026. Analyzing
RNA-seq Data with DESeq2.
Bioconductor package vignette, https://bioconductor.org/packages/release/bioc/vignettes/DESeq2/inst/doc/DESeq2.html.
Love, Michael I., Wolfgang Huber, and Simon Anders. 2014.
“Moderated Estimation of Fold Change and Dispersion for RNA-seq Data with DESeq2.”
Genome Biology 15 (12): 550. https://doi.org/10.1186/s13059-014-0550-8.
Lun, Aaron T. L., and Gordon K. Smyth. 2014. “De Novo Detection of
Differentially Bound Regions for ChIP-seq
Data Using Peaks and Windows: Controlling Error Rates Correctly.”
Nucleic Acids Research 42 (11): e95. https://doi.org/10.1093/nar/gku351.
Lun, Aaron T. L., and Gordon K. Smyth. 2016. “Csaw: A
Bioconductor Package for Differential Binding Analysis of
ChIP-seq Data Using Sliding Windows.”
Nucleic Acids Research 44 (5): e45. https://doi.org/10.1093/nar/gkv1191.
Machlab, Dania, Lukas Burger, Charlotte Soneson, Filippo M. Rijli, Dirk
Schübeler, and Michael B. Stadler. 2022. “monaLisa: An
R/Bioconductor Package for Identifying
Regulatory Motifs.” Bioinformatics 38 (9): 2624–25. https://doi.org/10.1093/bioinformatics/btac102.
MACS3 developers. 2026. MACS3 Callpeak
Documentation. Https://macs3-project.github.io/MACS/docs/callpeak.html.
Maresca, Michela, Teun van den Brand, Hangpeng Li, Hans Teunissen, James
Davies, and Elzo de Wit. 2023. “Pioneer Activity Distinguishes
Activating from Non-Activating SOX2 Binding Sites.”
The EMBO Journal 42 (20): e113150. https://doi.org/10.15252/embj.2022113150.
Martin, Marcel. 2011. “Cutadapt Removes Adapter Sequences from
High-Throughput Sequencing Reads.” EMBnet.journal 17
(1): 10–12. https://doi.org/10.14806/ej.17.1.200.
McLean, Cory Y., Dave Bristor, Michael Hiller, Shoa
L. Clarke, Bruce T. Schaar, et al. 2010.
“GREAT Improves Functional Interpretation of
Cis-Regulatory Regions.” Nature Biotechnology 28 (5):
495–501. https://doi.org/10.1038/nbt.1630.
McLeay, Robert C., and Timothy L. Bailey. 2010. “Motif Enrichment
Analysis: A Unified Framework and an Evaluation on ChIP
Data.” BMC Bioinformatics 11: 165. https://doi.org/10.1186/1471-2105-11-165.
Meers, Michael P., Dan Tenenbaum, and Steven Henikoff. 2019. “Peak
Calling by Sparse Enrichment Analysis for CUT&RUN
Chromatin Profiling.” Epigenetics & Chromatin 12:
42. https://doi.org/10.1186/s13072-019-0287-4.
Meissner, Alexander, Tarjei S. Mikkelsen, Hongcang
Gu, Marius Wernig, Jacob Hanna, et al. 2008. “Genome-Scale
DNA Methylation Maps of Pluripotent and Differentiated
Cells.” Nature 454 (7205): 766–70. https://doi.org/10.1038/nature07107.
Murray, Josiah D., Atrayee Ray, Khanmi Kasomva,
Erica Steen, Cary Stelloh, et al. 2026. “Systematic
Benchmarking of CUT&Tag Improves the Reliability and
Reproducibility of Chromatin Analysis.” Cell Reports
Methods 6 (8): 101499. https://doi.org/10.1016/j.crmeth.2026.101499.
Nasser, Joseph, Drew T. Bergman, Charles P. Fulco,
Philine Guckelberger, Benjamin R. Doughty, et al. 2021.
“Genome-Wide Enhancer Maps Link Risk Variants to Disease
Genes.” Nature 593 (7858): 238–43. https://doi.org/10.1038/s41586-021-03446-x.
nf-core community. 2026.
Nf-Core/Cutandrun: Analysis Pipeline for CUT&RUN
and CUT&Tag Experiments. Https://nf-co.re/cutandrun.
Orlando, David A., Mei Wei Chen, Victoria E. Brown,
Shakti Solanki, Yoon J. Choi, et al. 2014. “Quantitative
ChIP-Seq Normalization Reveals Global Modulation of the
Epigenome.” Cell Reports 9 (3): 1163–70. https://doi.org/10.1016/j.celrep.2014.10.018.
Patel, Lauren A., Yuwei Cao, Eric M. Mendenhall, Christopher Benner, and
Alon Goren. 2024. “The Wild West of Spike-in
Normalization.” Nature Biotechnology 42 (9): 1343–49. https://doi.org/10.1038/s41587-024-02377-y.
Ramírez, Fidel, Devon P. Ryan, Björn Grüning, Vivek
Bhardwaj, Fabian Kilpert, et al. 2016. “deepTools2: A Next Generation Web Server for
Deep-Sequencing Data Analysis.” Nucleic Acids Research
44 (W1): W160–65. https://doi.org/10.1093/nar/gkw257.
Rauluseviciute, Ieva, Rafael Riudavets-Puig, Romain
Blanc-Mathieu, Jaime A. Castro-Mondragon, Katalin Ferenc, et al.
2024. “JASPAR 2024: 20th Anniversary of the
Open-Access Database of Transcription Factor Binding Profiles.”
Nucleic Acids Research 52 (D1): D174–82. https://doi.org/10.1093/nar/gkad1059.
Reske, Jake J., Mike R. Wilson, and Ronald L. Chandler. 2020.
“ATAC-seq Normalization Method Can
Significantly Affect Differential Accessibility Analysis and
Interpretation.” Epigenetics & Chromatin 13 (1): 22.
https://doi.org/10.1186/s13072-020-00342-y.
Roadmap Epigenomics Consortium, Anshul Kundaje,
Wouter Meuleman, Jason Ernst, et al. 2015. “Integrative
Analysis of 111 Reference Human Epigenomes.” Nature 518
(7539): 317–30. https://doi.org/10.1038/nature14248.
Robinson, James T., Helga Thorvaldsdottir, Douglass Turner, and Jill P.
Mesirov. 2023. “Igv.js: An Embeddable JavaScript
Implementation of the Integrative Genomics Viewer
(IGV).” Bioinformatics 39 (1): btac830. https://doi.org/10.1093/bioinformatics/btac830.
Robinson, Mark D., and Alicia Oshlack. 2010. “A Scaling
Normalization Method for Differential Expression Analysis of RNA-seq Data.” Genome Biology 11
(3): R25. https://doi.org/10.1186/gb-2010-11-3-r25.
SAM/BAM Format Specification Working Group. 2026. Sequence
Alignment/Map Format Specification. Https://samtools.github.io/hts-specs/SAMv1.pdf.
Sandve, Geir Kjetil, Anton Nekrutenko, James Taylor, and Eivind Hovig.
2013. “Ten Simple Rules for Reproducible Computational
Research.” PLoS Computational Biology 9 (10): e1003285.
https://doi.org/10.1371/journal.pcbi.1003285.
Schurch, Nicholas J., Pietá Schofield, Marek
Gierliński, Christian Cole, Alexander Sherstnev, et al. 2016.
“How Many Biological Replicates Are Needed in an RNA-seq Experiment and Which Differential
Expression Tool Should You Use?” RNA 22 (6): 839–51. https://doi.org/10.1261/rna.053959.115.
Skene, Peter J., and Steven Henikoff. 2017. “An Efficient Targeted
Nuclease Strategy for High-Resolution Mapping of DNA
Binding Sites.” eLife 6: e21856. https://doi.org/10.7554/eLife.21856.
Tallan, Alexi, Jack Kucinski, Benjamin Sunkel,
Cenny Taslim, Stephanie LaHaye, et al. 2025. “Highly
Quantitative Measurement of Differential Protein-Genome Binding with
PerCell Chromatin Sequencing.” Cell Reports
Methods 5 (6): 101052. https://doi.org/10.1016/j.crmeth.2025.101052.
Vanneste, Domien, Wen Peng, Zhuangzhuang Liu, Malik
Hamaïdia, Raphaël La Rocca, et al. 2026. “MafB
Is a Conserved Transcriptional Regulator of Macrophage Development and
Functional Identity Across Tissues and Species.”
Immunity 59 (3): 559–576.e12. https://doi.org/10.1016/j.immuni.2026.01.012.
Whyte, Warren A., David A. Orlando, Denes Hnisz,
Brian J. Abraham, Charles Y. Lin, et al. 2013. “Master
Transcription Factors and Mediator Establish
Super-Enhancers at Key Cell Identity Genes.” Cell 153
(2): 307–19. https://doi.org/10.1016/j.cell.2013.03.035.
Yashar, William M., Garth Kong, Jake VanCampen,
Brittany M. Curtiss, Daniel J. Coleman, et al. 2022.
“GoPeaks: Histone Modification Peak Calling for
CUT&Tag.” Genome Biology 23: 144. https://doi.org/10.1186/s13059-022-02707-w.
Yu, Guangchuang. 2026. ChIPseeker: An R
Package for ChIP Peak Annotation, Comparison and
Visualization (Package Vignette, Version 1.48.0). Https://bioconductor.org/packages/release/bioc/vignettes/ChIPseeker/inst/doc/ChIPseeker.html.
Yu, Guangchuang, Li-Gen Wang, and Qing-Yu He. 2015.
“ChIPseeker: An R/Bioconductor Package
for ChIP Peak Annotation, Comparison and
Visualization.” Bioinformatics 31 (14): 2382–83. https://doi.org/10.1093/bioinformatics/btv145.
Zhang, Yong, Tao Liu, Clifford A. Meyer, Jérôme
Eeckhoute, David S. Johnson, et al. 2008. “Model-Based
Analysis of ChIP-Seq (MACS).”
Genome Biology 9 (9): R137. https://doi.org/10.1186/gb-2008-9-9-r137.
Zheng, Ye, Kami Ahmad, and Steven Henikoff. 2020.
CUT&Tag Data Processing and Analysis Tutorial.
Protocols.io. https://doi.org/10.17504/protocols.io.bjk2kkye.
Zhu, Anqi, Joseph G. Ibrahim, and Michael I. Love. 2019.
“Heavy-Tailed Prior Distributions for Sequence Count Data:
Removing the Noise and Preserving Large Differences.”
Bioinformatics 35 (12): 2084–92. https://doi.org/10.1093/bioinformatics/bty895.
Zocher, Sara, Rupert W. Overall, Gabriel
Berdugo-Vega, Nicole Rund, Anne Karasinsky, et al. 2021.
“De Novo DNA Methylation Controls Neuronal Maturation
During Adult Hippocampal Neurogenesis.” The EMBO Journal
40 (18): e107100. https://doi.org/10.15252/embj.2020107100.
Zou, Zhaonan, Tazro Ohta, and Shinya Oki. 2024.
“ChIP-Atlas 3.0: A Data-Mining Suite to Explore
Chromosome Architecture Together with Large-Scale Regulome Data.”
Nucleic Acids Research 52 (W1): W45–53. https://doi.org/10.1093/nar/gkae358.