A compendium of promoter-centered long-range chromatin interactions in the human genome

Model-based Analysis of ChIP-Seq (MACS)

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A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

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Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome

Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898

Topological domains in mammalian genomes identified by analysis of chromatin interactions

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Integrative analysis of 111 reference human epigenomes

Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368

The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062

Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes

Whyte, W. A., Orlando, D. A., Hnisz, D., Abraham, B. J., Lin, C. Y., Kagey, M. H., Rahl, P. B., Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.03.035 · Cited by 4,143

Potential etiologic and functional implications of genome-wide association loci for human diseases and traits

Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013

Systematic Localization of Common Disease-Associated Variation in Regulatory DNA

Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Reynolds, A. P., Sandstrom, R., Qu, H., Brody, J., et al. (2012) · Science · doi:10.1126/science.1222794 · Cited by 3,716

The NHGRI GWAS Catalog, a curated resource of SNP-trait associations

Welter, D., MacArthur, J., Morales, J., Burdett, T., Hall, P., Junkins, H., Klemm, A., Flicek, P., Manolio, T., Hindorff, L., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1229 · Cited by 2,707

Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder

Zhao, Y., Fu, Z., Barnett, E. J., Wang, N., Zhang, K., Gao, X., Zheng, X., Tian, J., Zhang, H., Ding, X.-T., et al. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03250-5 · Cited by 7

Genome-wide association study of mitochondrial copy number

Gentiluomo, M., Giaccherini, M., Gao, X. Y., Guo, F., Stocker, H. R., Schöttker, B., Brenner, H., Canzian, F., & Campa, D. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab341 · Cited by 6

Prioritizing genes associated with brain disorders by leveraging enhancer-promoter interactions in diverse neural cells and tissues

Zhao, X., Song, L., Yang, A., Zhang, J., Zhang, J., Yang, Y., & Zhao, X. (2023) · Genome Medicine · doi:10.1186/s13073-023-01210-6 · Cited by 5

Epigenetic profiling reveals key genes and cis-regulatory networks specific to human parathyroids

Jung, Y. L., Zhao, W., Li, I. M. H., Jain, D. S., Epstein, C. B., Bernstein, B., Parangi, S., Sherwood, R. I., Robinson‐Cohen, C., Hsu, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46181-3 · Cited by 7

Microdeletion of 9q22.3: A patient with minimal deletion size associated with a severe phenotype

Ewing, A. D., Cheetham, S. W., McGill, J. J., Sharkey, M., Walker, R., West, J. A., West, M., & SUMMERS, K. M. (2021) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.62224 · Cited by 6

Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders

van Duijvenboden, S., Ramírez, J., Young, W. J., Orini, M., Mifsud, B., Tinker, A., Lambiase, P. D., & Munroe, P. B. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab197 · Cited by 6

3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk

Liu, N., Sadlon, T. J., Wong, Y. Y., Pederson, S., Breen, J., & Barry, S. C. (2022) · Epigenetics & Chromatin · doi:10.1186/s13072-022-00456-5 · Cited by 6

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

Baur, B. A., Schreiber, J. M., Shin, J., Zhang, S., Zhang, Y., Manjunath, M., Song, J. S., Noble, W. S., & Roy, S. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011286 · Cited by 6

Vitamin D receptor cistrome-transcriptome analyses establishes quantitatively distinct receptor genomic interactions in African American prostate cancer regulated by BAZ1APreprint

Siddappa, M., Hussain, S., Wani, S. A., Tang, H., Gray, J. S., Jafari, H., Wu, H., Long, M. D., Elhussin, I. A., Karanam, B., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.31.478573 · Cited by 7

EPIraction - an atlas of candidate enhancer-gene interactions in human tissues and cell linesPreprint

Nurtdinov, R., & Guigó, R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.18.638885 · Cited by 7

Genetic effects on chromatin accessibility uncover mechanisms of liver gene regulation and quantitative traitsPreprint

Currin, K. W., Perrin, H. J., Pandey, G. K., Alkhawaja, A. A., Vadlamudi, S., Musser, A. E., Etheridge, A. S., Broadaway, K. A., Rosen, J. D., Varshney, A., et al. (2025) · Genome Research · doi:10.1101/gr.279741.124 · Cited by 8

Cis‐Regulation of an m6A Eraser by an Insertion Variant Associated with Survival of Patients With Non‐Small Cell Lung Carcinoma

Cheng, L., Hu, Q., Wang, Y., Nie, W., Lu, H., Zhang, B., Zhao, G., Ding, S., Pan, F., Shen, Y., et al. (2024) · Advanced Science · doi:10.1002/advs.202407652 · Cited by 5

Association of human-specific expanded short tandem repeats with neuron-specific regulatory features

Liu, Q., & Tian, W. (2025) · Science Advances · doi:10.1126/sciadv.adp9707 · Cited by 6

Cohesin regulation of genome organization in mature granule neurons in the mouse cerebellum

Parra, O. A. P., Zhao, Z., Yamada, T., & Yang, Y. (2025) · Epigenetics & Chromatin · doi:10.1186/s13072-025-00625-2 · Cited by 6

Topoisomerase IIb binding delineates localized mutational processes and driver mutations in cancer genomes

Uusküla-Reimand, L., Lee, C. A., Oh, R. H., Klein, Z. P., Adler, N., Alvi, S. A., Langille, E. R., Pasini, E., Cheng, K. C. L., Serafimova, E., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65005-6 · Cited by 6

Nanoparticle-enriched mass spectrometry proteomics in British South Asians identifies links between genetic variants, plasma protein levels and disease risk

Pietzner, M., Williamson, A., Hunt, K. A., Koprulu, M., Kohleick, L., Demircan, K., van Heel, D. A., Finer, S., Carrasco-Zanini, J., van Heel, D. A., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02697-6 · Cited by 6

Multiomics data integration unveils core transcriptional regulatory networks governing cell-type identity

Jung, S., & del Sol, A. (2020) · npj Systems Biology and Applications · doi:10.1038/s41540-020-00148-4 · Cited by 7

Hooked Up from a Distance: Charting Genome-Wide Long-Range Interaction Maps in Neural Cells Chromatin to Identify Novel Candidate Genes for Neurodevelopmental Disorders

Mercurio, S., Pozzolini, G., Baldi, R., Barilà, S. E., Pitasi, M., Catona, O., D’Aurizio, R., & Nicolis, S. K. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021164 · Cited by 5

Priority index for asthma (PIA): In silico discovery of shared and distinct drug targets for adult- and childhood-onset disease

Bao, C., Gu, L., Wang, S., Zou, K., Zhang, Z., Jiang, L., Chen, L., & Fang, H. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107095 · Cited by 5

Priority index for critical Covid-19 identifies clinically actionable targets and drugs

Zhang, Z., Wang, S., Jiang, L., Wei, J., Lu, C., Li, S., Diao, Y., Fang, Z., He, S., Tan, T., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-05897-0 · Cited by 5

Actively protective combinatorial analysis: A scalable novel method for detecting variants that contribute to reduced disease prevalence in high-risk individuals

Sardell, J. M., Das, S., Taylor, K., Stubberfield, C. R., Malinowski, A., Strivens, M. A., & Gardner, S. (2025) · Artificial Intelligence in the Life Sciences · doi:10.1016/j.ailsci.2025.100125 · Cited by 5

Variant to Gene Mapping to Discover New Targets for Immune Tolerance

Mehra, P., & Wells, A. D. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.633219 · Cited by 5

Insights into the genetic architecture of haematological traits from deep phenotyping and whole-genome sequencing for two Mediterranean isolated populations

Kuchenbaecker, K. B., Gilly, A., Süveges, D., Southam, L., Giannakopoulou, O., Kilian, B., Tsafantakis, E., Karaleftheri, M., Farmaki, A., Gurdasani, D., et al. (2022) · Scientific Reports · doi:10.1038/s41598-021-04436-9 · Cited by 7

Super interactive promoters provide insight into cell type-specific regulatory networks in blood lineage cell types

Wen, J., Lagler, T. M., Sun, Q., Yang, Y., Chen, J., Harigaya, Y., Sankaran, V. G., Hu, M., Reiner, A. P., Raffield, L. M., et al. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1009984 · Cited by 5

Predicting gene regulatory networks from multi-omics to link genetic risk variants and neuroimmunology to Alzheimer’s disease phenotypesPreprint

Khullar, S., & Wang, D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.21.449165 · Cited by 5

Genome-wide Association Study identifies two novel loci for Gilles de la Tourette SyndromePreprint

Tsetsos, F., Topaloudi, A., Jain, P., Yang, Z., Yu, D., Kolovos, P., Tümer, Z., Rizzo, R., Hartmann, A., Depienne, C., et al. (2021) · medRxiv · doi:10.1101/2021.12.11.21267560 · Cited by 5

Genome-wide association meta-analysis of spontaneous coronary artery dissection reveals common variants and genes related to artery integrity and tissue-mediated coagulationPreprint

Adlam, D., Berrandou, T.-E., Georges, A. B., Nelson, C. P., Giannoulatou, E., Henry, J., Ma, L., Blencowe, M., Turley, T. N., Yang, M., et al. (2022) · medRxiv · doi:10.1101/2022.07.05.22277238 · Cited by 5

Adjusting for genetic confounders in transcriptome-wide association studies leads to reliable detection of causal genesPreprint

Zhao, S., Crouse, W. L., Qian, S., Luo, K., Stephens, M., & He, X. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.27.509700 · Cited by 5

Bioinformatics pipeline to guide post‐GWAS studies in Alzheimer's: A new catalogue of disease candidate short structural variants

Lutz, M. W., & Chiba‐Falek, O. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13168 · Cited by 4

Epromoters bind key stress-related transcription factors to regulate clusters of stress response genes

Malfait, J., Wan, J., Singh, H. N., Souaid, C., Farah, G., Su, J., Torres, M., Manosalva, I., Sakakini, N., Esnault, C., et al. (2026) · The EMBO Journal · doi:10.1038/s44318-025-00670-3 · Cited by 4

Long-range chromosomal interactions increase and mark repressed gene expression during adipogenesis

Garske, K. M., Comenho, C., Pan, D. Z., Alvarez, M., Mohlke, K. L., Laakso, M., Pietiläinen, K. H., & Pajukanta, P. (2022) · Epigenetics · doi:10.1080/15592294.2022.2088145 · Cited by 4

Clique-Based Topological Characterization of Chromatin Interaction Hubs

Melkus, G., Silina, S., Sizovs, A., Ručevskis, P., Lāce, L., Celms, E., & Vīksna, J. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-7074-2_38 · Cited by 4

Transcription factor 4 is a key mediator of oncogenesis in neuroblastoma by promoting MYC activity

Aljouda, N. A., Shrestha, D., DeVaux, C., Olsen, R. R., Alleboina, S., Walker, M., Cheng, Y., & Freeman, K. W. (2024) · Molecular Oncology · doi:10.1002/1878-0261.13714 · Cited by 4

Phthalates Impair Estrogenic Regulation of HIF2α and Extracellular Vesicle Secretion by Human Endometrial Stromal Cells

Beal, J. R., Bhurke, A., Carlson, K. E., Katzenellenbogen, J. A., Yu, J., Flaws, J. A., Bagchi, I. C., & Bagchi, M. K. (2025) · Endocrinology · doi:10.1210/endocr/bqaf087 · Cited by 5

Prioritizing long range interactions in noncoding regions using GWAS and deletions perturbed TADs

Liu, X., Xu, W., Leng, F., Hao, C., Kolora, S. R. R., & Li, W. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.10.014 · Cited by 4

Long-range chromatin interactions in pathogenic gene expression control

Kong, N., & Jung, I. (2020) · Transcription · doi:10.1080/21541264.2020.1843958 · Cited by 4

3D reconstruction of genomic regions from sparse interaction data

Mendieta-Esteban, J., Stefano, M. D., Castillo, D., Farabella, I., & Martı́-Renom, M. A. (2021) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqab017 · Cited by 4

Functional annotation of lung cancer‒associated genetic variants by cell type‒specific epigenome and long-range chromatin interactome

Lee, A., & Jung, I. (2021) · Genomics & Informatics · doi:10.5808/gi.20073 · Cited by 4

Regulatory patterns analysis of transcription factor binding site clustered regions and identification of key genes in endometrial cancer

Tang, X., Wang, J., Tao, H., Yuan, L., Du, G., Ding, Y., Xu, K., Bai, X., Li, Y., Sun, Y., et al. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.01.014 · Cited by 4

Characterization of the MG828507 lncRNA Located Upstream of the FLT1 Gene as an Etiology for Pre-Eclampsia

Yoshizawa, H., Nishizawa, H., Inagaki, H., Hitachi, K., Ohwaki, A., Sakabe, Y., Ito, M., Tsuchida, K., Sekiya, T., Fujii, T., et al. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11154603 · Cited by 4

Multi-scale gene regulation mechanism: Spatiotemporal transmission of genetic information

Xue, Y., Wang, J., He, Y., Patra, P., & Gao, Y. Q. (2022) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2022.102487 · Cited by 5

A Systems Biology Approach on the Regulatory Footprint of Human Endogenous Retroviruses (HERVs)

Markopoulos, G. S. (2022) · Diseases · doi:10.3390/diseases10040098 · Cited by 4

CT-FOCS: a novel method for inferring cell type-specific enhancer–promoter maps

Hait, T. A., Elkon, R., & Ron Shamir, A. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac048 · Cited by 5

Genome-wide discovery of SLE genetic risk variant allelic enhancer activityPreprint

Lu, X., Chen, X., Forney, C., Donmez, O. A., Miller, D., Parameswaran, S., Hong, T., Huang, Y., Pujato, M., Cazares, T., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.20.906701 · Cited by 4

Genetic evidence for serum amyloid P component as a drug target for treatment of neurodegenerative disordersPreprint

Schmidt, A. F., Finan, C., Chopade, S., Ellmerich, S., Rossor, M. N., Hingorani, A. D., & Pepys, M. B. (2023) · medRxiv · doi:10.1101/2023.08.15.23293564 · Cited by 4

Nanoparticle enriched mass spectrometry proteomics in British South Asians identifies novel variant-protein-disease mechanisms

Pietzner, M., Williamson, A., Hunt, K. A., Koprulu, M., Kohleick, L., Demircan, K., Genes & Health Research Team, Finer, S., Zanini, J. C., van Heel, D. A., et al. (2025) · doi:10.1101/2025.08.12.25333522 · Cited by 4

RobusTAD: reference panel based annotation of nested topologically associating domains

Zhang, Y., Dali, R., & Blanchette, M. (2025) · Genome biology · doi:10.1186/s13059-025-03568-9 · Cited by 3

Genomic Crosstalk Between Nuclear Receptors in Hormone-dependent Cancers

Campbell, M. J. (2025) · Endocrinology · doi:10.1210/endocr/bqaf149 · Cited by 3

Evolutionarily conserved enhancer-associated features within the MYEOV locus suggest a regulatory role for this non-coding DNA region in cancer

Davidson, B. S. A., Arcila-Galvis, J. E., Trevisán-Herraz, M., Mikulášová, A., Brackley, C. A., Russell, L. J., & Rico, D. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1294510 · Cited by 4

Systematic functional characterization of non-coding regulatory SNPs associated with central obesity

Dong, S.-S., Duan, Y.-Y., Zhu, R., Jia, Y., Chen, J., Huang, X., Tang, S., Yu, K., Shi, W., Chen, X., et al. (2025) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.11.005 · Cited by 3

A novel complex genomic rearrangement affecting the KCNJ2 regulatory region causes a variant of Cooks syndrome

Cinque, L., Micale, L., Manara, E., Esposito, A., Palumbo, O., Chiariello, A. M., Bianco, S., Guerri, G., Bertelli, M., Giuffrida, M. G., et al. (2021) · Human Genetics · doi:10.1007/s00439-021-02403-y · Cited by 3

FastBiCmrMLM: a fast and powerful compressed variance component mixed logistic model for big genomic case-control genome-wide association study

Wang, J.-T., Chang, X.-Y., Zhao, Q., & Zhang, Y. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae290 · Cited by 3

In silico identification of novel transcription factors associated with CYP27B1 transcriptional regulation in LPS-challenged mononuclear phagocytes

Martinelli, R. P., Rodriguez, J. M., Daurelio, L. D., & Esteban, L. (2020) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2020.105590 · Cited by 3

Genomic Insights into Non-steroidal Nuclear Receptors in Prostate and Breast Cancer

Wani, S. A., & Campbell, M. J. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-11836-4_13 · Cited by 3

Capture Hi-C: Characterization of chromatin contacts

Davis, R. R., Campbell, M., Izumiya, Y., & Tepper, C. G. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819414-0.00021-5 · Cited by 3

Micro-C reveals MORC/ApiAP2-mediated links between distant, functionally related genes in the human malaria parasitePreprint

Singh, P., Serizay, J., Couble, J., Cabahug, M. D., Rosa, C., Chen, P. B., Scherf, A., Koszul, R., Baumgarten, S., & Bryant, J. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.28.610079 · Cited by 3

A global overview of shared genetic architecture between smoking behaviors and major depressive disorder in European and East Asian ancestry

Wang, C., Pu, Q., Mo, X., Han, X., Wang, F., Li, W., Chen, C., Xue, Y., Xin, J., Shen, C., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.01.093 · Cited by 3

A practical guide to sequencing in neuropsychiatric research

Minerva, A. R., DeBerardine, M., Lin, R., Kim, H. J. J., Rogers, F. D., Rashford, R. L., & Peña, C. J. (2025) · NPP—Digital Psychiatry and Neuroscience · doi:10.1038/s44277-025-00041-0 · Cited by 2

The Biological Function of Genome Organization

Yang, X., Zhu, H., Liu, Y., Wang, J., Song, Y., Liao, S., & Dong, P. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26189058 · Cited by 3

Molecular systems, human noncoding sequence variants, and blood pressure

Qiu, Q., & Liang, M. (2026) · Physiological Reviews · doi:10.1152/physrev.00029.2025 · Cited by 3

Global mapping of circRNA-target RNA interactions reveal P-body-mediated translational repression

Li, P., Zhang, H., Cai, Z., Zhang, Y., Yang, R., Ye, R., Li, J., Zhao, H., Liu, B., Yuan, Z., et al. (2026) · Molecular Cell · doi:10.1016/j.molcel.2026.01.018 · Cited by 2

Integrative analyses elucidate transcriptional regulatory functions of risk alleles for metabolic liver disease

Zhu, B., He, N., Xiao, Y., Chen, B., Li, C., Mandla, R., Liu, Y., Zhang, J., Chang, X., Yu, F., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02617-8 · Cited by 4

EpiMCI: Predicting Multi-Way Chromatin Interactions from Epigenomic Signals

Xu, J., Zhang, P., Sun, W., Zhang, J., Zhang, W., Hou, C., & Li, L. (2023) · Biology · doi:10.3390/biology12091203 · Cited by 2

‘Enhancing’ skeletal muscle and stem cells in three-dimensions: genome regulation of skeletal muscle in development and disease

Romero, M. A., & Pyle, A. D. (2023) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2023.102133 · Cited by 2

Regulatory roles of three-dimensional structures of chromatin domains

Li, K. Y., Cao, Q., Chow, S. H.-C., Nicoletti, C., Puri, P., Wang, H., Leung, D., & Yip, K. Y.-L. (2025) · Genome biology · doi:10.1186/s13059-025-03659-7 · Cited by 3

The interdependence of mammary-specific super-enhancers and their native promoters facilitates gene activation during pregnancy

Zeng, X., Lee, H., Wang, C., Achikeh, P., Liu, C., & Hennighausen, L. G. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-0425-x · Cited by 2

Epigenetic fine-mapping: identification of causal mechanisms for autoimmunity

Lincoln, M. R., Axisa, P., & Hafler, D. A. (2020) · Current Opinion in Immunology · doi:10.1016/j.coi.2020.09.002 · Cited by 2

Chromatin Interaction Changes during the iPSC-NPC Model to Facilitate the Study of Biologically Significant Genes Involved in Differentiation

Choi, W.-Y., Hwang, J.-H., Lee, J.-Y., Cho, A., Lee, A., Jung, I., Cho, S., Kim, L. K., & Kim, Y.-J. (2020) · Genes · doi:10.3390/genes11101176 · Cited by 2

MUNIn: A statistical framework for identifying long-range chromatin interactions from multiple samples

Liu, W., Yang, Y., Abnousi, A., Zhang, Q., Kubo, N., Beem, J. S. M., Li, Y., & Hu, M. (2021) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2021.100036 · Cited by 2

Charm is a flexible pipeline to simulate chromosomal rearrangements on Hi-C-like data

Nuriddinov, M., Belokopytova, P. S., & Fishman, V. (2025) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqaf081 · Cited by 2

How to Use Online Tools to Generate New Hypotheses for Mammary Gland Biology Research: A Case Study for Wnt7b

van de Grift, Y. B. C., Heijmans, N., & van Amerongen, R. (2020) · Journal of Mammary Gland Biology and Neoplasia · doi:10.1007/s10911-020-09474-z · Cited by 2

Discovery of directional chromatin-associated regulatory motifs affecting human gene transcriptionPreprint

Osato, N. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/290825 · Cited by 2

Discovery and Functional Characterization of Pro-growth Enhancers in Human Cancer CellsPreprint

Chen, P.-S. B., Fiaux, P. C., Li, B., Zhang, K., Kubo, N., Jiang, S., Hu, R., Wu, S.-H., Wang, M.-C., Wang, W., et al. (2021) · bioRxiv · doi:10.1101/2021.02.04.429675 · Cited by 3

Super interactive promoters provide insight into cell type-specific regulatory networks in blood lineage cell typesPreprint

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Convergence of case-specific epigenetic alterations identify a confluence of genetic vulnerabilities tied to opioid dependencePreprint

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