'; ?> geneimprint : Hot off the Press http://www.geneimprint.com/site/hot-off-the-press Daily listing of the most recent articles in epigenetics and imprinting, collected from the PubMed database. en-us Fri, 23 Jan 2026 03:06:40 EST Fri, 23 Jan 2026 03:06:40 EST jirtle@radonc.duke.edu james001@jirtle.com Consortium profile: the methylation, imaging and NeuroDevelopment (MIND) consortium. Schuurmans IK, Mulder RH, Baltramonaityte V, Lahtinen A, Qiuyu F, Rothmann LM, Staginnus M, Tuulari JJ, Burt SA, Buss C, Craig JM, Donald KA, Eriksson JG, Felix JF, Freeman TP, Grassi-Oliveira R, Huels A, Hyde LW, Jones SA, Karlsson H, Karlsson L, Koen N, Lawn W, Mitchell C, Monk CS, Mooney MA, Muetzel R, Nigg JT, Belangero SIN, Notterman D, Ong YY, O'Connor T, O'Donnell KJ, Pan PM, Paunio T, Ryabinin P, Saffery R, Salum GA, Seal M, Silk TJ, Stein DJ, Tan AP, Teh AL, Wang D, Zar H, Walton E, Cecil CAM
Mol Psychiatry (Feb 2026)

Epigenetic processes, such as DNA methylation, show potential as biological markers and mechanisms underlying gene-environment interplay in the prediction of mental health and other brain-based phenotypes. However, little is known about how peripheral epigenetic patterns relate to individual differences in the brain itself. An increasingly popular approach to address this is by combining epigenetic and neuroimaging data; yet, research in this area is almost entirely comprised of cross-sectional studies in adults. To bridge this gap, we established the Methylation, Imaging and NeuroDevelopment (MIND) Consortium, which aims to bring a developmental focus to the emerging field of Neuroimaging Epigenetics by (i) promoting collaborative, adequately powered developmental research via multi-cohort analyses; (ii) increasing scientific rigor through the establishment of shared pipelines and open science practices; and (iii) advancing our understanding of DNA methylation-brain dynamics at different developmental periods (from birth to emerging adulthood), by leveraging data from prospective, longitudinal pediatric studies. MIND currently integrates 16 cohorts worldwide, comprising (repeated) measures of DNA methylation in peripheral tissues (blood, buccal cells, and saliva) and neuroimaging by magnetic resonance imaging across up to five time points over a period of up to 21 years (N = 12,877; N = 10,899; N = 6074). By triangulating associations across multiple developmental time points and study types, we hope to generate new insights into the dynamic relationships between peripheral DNA methylation and the brain, and how these ultimately relate to neurodevelopmental and psychiatric phenotypes.]]> Wed, 31 Dec 1969 19:00:00 EST Spatial metabolomics and multiomics integration for breakthroughs in precision medicine for kidney disease. Sharma K, Hansen J, Susztak K, Eberlin L, Anderton CR, Alexandrov T, Iyengar R
Nat Rev Nephrol (Feb 2026)

Precision medicine is now a feasible prospect for nephrologists as numerous therapeutic options are available for various forms of kidney disease. However, implementation of this strategy will require high-dimensional diagnostic approaches to identify patients who will respond to an intervention and monitor mechanisms of action relevant to the underlying disease process. With the advent of spatial omics, comprehensive and thorough molecular analysis of biological samples is now possible. In particular, spatial metabolomics analysis of kidney biopsy samples could have an important role in facilitating precision medicine for kidney diseases. Spatial metabolomics can be used to monitor changes in the functional outcomes of genes and proteins in specific anatomical compartments such as the glomeruli, tubules, blood vessels and interstitial spaces. Spatial metabolomics studies have identified adenine in regions of interstitial fibrosis and arteriosclerosis in diabetic kidney disease, provided new insights into the regulation of N-glycans in glomeruli from patients with diabetes, and enabled a new metabolomic classification of kidney cancer subtypes. Use of computational informatic platforms to integrate genomics, transcriptomics, proteomics and epigenomics with metabolomics will further enhance the value of spatial metabolomics for clinical applications.]]> Wed, 31 Dec 1969 19:00:00 EST CRISPR 2.0: Expanding the genome engineering Toolbox for epigenetics, RNA editing, and molecular diagnostics. Pradhan K, Anoop S
Gene (Feb 2026)

Non-canonical CRISPR systems adaptation has led to genome editing through nucleases, and the development of transcriptional and epigenetic regulation, transcriptome editing, and molecular diagnostics has resulted in a diversified set of tools-CRISPR 2.0. In this review, the author summarizes the mechanisms and recent engineering advances of (i) dCas9-based epigenetic effectors, (ii) RNA-targeting Cas13 systems and engineered RNA editors, (iii) DNA base editors and prime editors, and (iv) CRISPR-powered diagnostic platforms and their translational readiness. There is a critical comparison of the various approaches (e.g., RNAi/ASO versus Cas13-based methods; base editing versus prime editing) along with practical translational considerations such as delivery technologies, safety (off-target/edit windows, mosaicism), and regulatory pathways which are evaluated. Three concise case studies refer to map laboratory evidence to clinical or near-clinical outcomes and the ethical and governance discussion is widened to include global access, intellectual property and equity in deployment. Finally, the authors classify technologies according to their level of readiness - diagnostics and some ex-vivo therapeutic approaches are already in or very close to clinical use, chosen in-vivo editing methods are undergoing early trials, and AI-assisted nuclease design is still mostly theoretical but is getting better fast. This comprehensive viewpoint is intended to help researchers and physicians understand which CRISPR tools are most likely to be translated soon and where more validation is required.]]> Wed, 31 Dec 1969 19:00:00 EST Blood-based DNA methylation captures variance in adult height. Hatton AA, Hillary RF, McCartney DL, Harris SE, Cox SR, Evans KL, Walker RM, Suderman M, Yousefi P, McRae AF, Marioni RE
Genome Biol (Jan 2026)

While height is a highly heritable trait with strong polygenic prediction, previous studies have postulated that minimal variation of its individual differences can be captured by DNA methylation (DNAm). We investigated the role of blood-based genome-wide DNAm in capturing the variance in adult height in a large population-based cohort of 7,654 unrelated individuals from Generation Scotland using DNAm profiled on the Illumina EPIC array. The posterior DNAm probe effects were used to construct a DNAm profile score (Methylation Profile Score-MPS) which was evaluated in three independent cohorts.]]> Wed, 31 Dec 1969 19:00:00 EST Epigenetic Age Estimation for Hawaiian False Killer Whales (Pseudorca crassidens) in the Absence of 'Known-Age' Individuals. Martien KK, Baird RW, Robertson KM, Kratofil MA, Mahaffy SD, West KL, Chivers SJ, Archer FI
Mol Ecol Resour (Feb 2026)

Epigenetic aging models hold great promise for enhancing many aspects of wildlife research and management. However, their utility is limited by the need to train models using known-aged animals, which are rare among wildlife species. We present a novel approach to developing methylation-based age prediction models that enables us to train models using samples from individuals whose chronological age is estimated with uncertainty based on photo-identification catalogue data. Our approach incorporates this uncertainty into model training by representing the age of each individual with a probability distribution rather than a point estimate. We similarly represent the methylation profiles of individuals as binomial distributions and produce a distribution of predicted age for each sample that reflects the uncertainty in both its age and methylation profile. We compared age models trained using a wide range of parameterisations, training data sets and analytical methods to determine how well they predicted the catalogue-based age estimates. The resulting model has a median absolute error of 1.70 years, outperforming many published clocks trained with known-age samples. This approach significantly expands the range of species for which accurate methylation-based age models can be developed, particularly those of conservation concern where known-age samples are limited. By producing distributions of predicted age, it also enables researchers to accurately communicate the uncertainty in their age estimates to subsequent data users.]]> Wed, 31 Dec 1969 19:00:00 EST Detection of Isodisomy Utilizing SNP Microarray: Frequency, Ascertainment, and Implications. Molinari S, Williams N, Haskell G, Penton A, Arreola A, Gadi I, Phillips K, Tepperberg J, Schwartz S
Am J Med Genet A (Feb 2026)

This study investigates the frequency, ascertainment, and clinical implications of whole chromosomal isodisomy using a database of over 415,000 chromosomal microarray (CMA) tests conducted since 2008 across prenatal, postnatal, and products of conception specimens. In this cohort, 0.04% of cases exhibited the rare chromosomal phenomenon of isodisomy. Analysis of these cases revealed distinct patterns in frequency, chromosome involvement, and parent of origin related to specimen type. Isodisomy 14 was most frequent in prenatal samples, while chromosomes 6, 7, and 15 were more common in postnatal cases. The involvement of imprinted and non-imprinted chromosomes was equivalent for prenatal cases, while imprinted chromosomes consisted of two-thirds of postnatal cases, with paternal uniparental isodisomy more prevalent than maternal across all specimen types. Several cases demonstrated unmasking of pathogenic variants in recessive genes, and findings support prior studies of associations between isodisomy 11 and prenatal or neonatal lethality. These results underscore the diagnostic value of CMA and contribute to an extended understanding of isodisomy's clinical relevance.]]> Wed, 31 Dec 1969 19:00:00 EST Multi-omic screening for pleural mesothelioma in Asbestos-Exposed Populations: A literature review and Recommendations. Zwijsen K, Heirwegh E, Schillebeeckx E, Marcq E, Covaci A, de Beeck KO, van Meerbeeck JP, Raskin J, Janssens A, Snoeckx A, Lamote K
Lung Cancer (Feb 2026)

Pleural mesothelioma (PM) is an aggressive thoracic cancer related to historical exposure to asbestos fibres. Symptoms often appear at an advanced stage, leading to delayed diagnosis and dismal prognosis. Early diagnosis is thus crucial in improving patient outcome. Current biomarker research for early detection focuses on different -omics research fields (genomics, proteomics, transcriptomics, metabolomics and volatomics), however with no clinically useful result. Moreover, currently no screening program is advocated for asymptomatic individuals with an established asbestos exposure. The aim of this review is to summarise the advances in different -omics fields and to pinpoint state-of-the art biomarkers with the highest potential to serve as primary targets in clinical trials for early PM detection or screening.]]> Wed, 31 Dec 1969 19:00:00 EST Metabolomic fingerprinting of soft tissues uncovers taxonomic, physiological, and ecological aspects of river fishes. Marie B, Foucault P, Duperron S, Quiblier C
Fish Physiol Biochem (Jan 2026)

Recent advances in molecular phenotyping have driven the rapid growth of untargeted, multi-dimensional approaches such as epigenomics, transcriptomics, proteomics, and metabolomics. When applied to ecology, these high-throughput omics tools offer powerful new molecular trait descriptors for investigating biological and environmental processes. Using UHPLC-HRMS/MS, we analyzed metabolome variations in gut, liver, and muscle tissues of chubs and gudgeons collected in summer 2019 from French rivers affected by benthic cyanobacterial blooms. Tissue-specific metabolomic profiles were evident, with muscle metabolomes showing the most distinct species differentiation. The different tissue metabolomes of both fish species also varied by sampling location, indicating local environmental influences. Notably, fish from the Vienne site exhibited molecular signatures of metabolic stress, including elevated oxidized glutathione and bile acids, and decreased purines, amino acids, peptides, and lipids-potentially linked to anatoxin-a-producing cyanobacterial mats. These findings underscore the potential of environmental metabolomics as a sensitive tool for assessing ecological stress and support its integration into routine environmental bio-indicator programs.]]> Wed, 31 Dec 1969 19:00:00 EST Multiomics Data Synthesis of FAM83H in Amelogenesis Imperfecta. Leban T, Kunej T
Int Dent J (Feb 2026)

FAM83H is a critical gene implicated in amelogenesis imperfecta type IIIA (AI type IIIA), but its precise role in enamel formation remains poorly understood. Fragmented datasets, inconsistent terminology, and limited integrative analyses hinder functional interpretation. This study presents a comprehensive multi-omics analysis of FAM83H-associated AI type IIIA.]]> Wed, 31 Dec 1969 19:00:00 EST A cell type enrichment analysis tool for brain DNA methylation data (CEAM). Müller J, Laroche VT, Imm J, Weymouth L, Harvey J, Reijnders RA, Smith AR, van den Hove D, Lunnon K, Cavill R, Pishva E
Epigenetics (Dec 2026)

DNA methylation (DNAm) signatures are highly cell type-specific, yet most epigenome-wide association studies (EWAS) are performed on bulk tissue, potentially obscuring critical cell type-specific patterns. Existing computational tools for detecting cell type-specific DNAm changes are often limited by the accuracy of cell type deconvolution algorithms. Here, we introduce CEAM (Cell-type Enrichment Analysis for Methylation), a robust and interpretable framework for cell type enrichment analysis in DNA methylation data. CEAM applies over-representation analysis with cell type-specific CpG panels from Illumina EPIC arrays derived from nuclei-sorted cortical post-mortem brains from neurologically healthy aged individuals. The constructed CpG panels were systematically evaluated using both simulated datasets and published EWAS results from Alzheimer's disease, Lewy body disease, and multiple sclerosis. CEAM demonstrated resilience to shifts in cell type composition, a common confounder in EWAS, and remained robust across a wide range of differentially methylated positions, when upstream modeling of cell type composition was modeled with sufficient accuracy. Application to existing EWAS findings generated in neurodegenerative diseases revealed enrichment patterns concordant with established disease biology, confirming CEAM's biological relevance. The workflow is publicly available as an interactive Shiny app (https://um-dementia-systems-biology.shinyapps.io/CEAM/) enabling rapid, interpretable analysis of cell type-specific DNAm changes from bulk EWAS.]]> Wed, 31 Dec 1969 19:00:00 EST Multi-omic biomarker detection in ovarian cancer. Abuhassan Q, Al-Assi G, Rekha MM, Chanania K, Bavanilatha M, Arora V, Sinha A, Hayitova M
Clin Chim Acta (Feb 2026)

Ovarian cancer remains one of the most lethal gynecologic malignancies, largely because of late-stage diagnosis and the absence of reliable biomarkers for early detection and therapeutic stratification. Recent advances in high-throughput technologies have enabled multi-omics approaches that integrate genomics, transcriptomics, proteomics, metabolomics, and epigenomics to elucidate the comprehensive molecular landscape of ovarian cancer. This narrative review synthesizes current progress in applying multi-omics strategies to biomarker discovery, highlighting how integrative analyses uncover novel diagnostic, prognostic, and predictive candidates beyond the limitations of single-omics studies. We discuss methodological frameworks, computational pipelines and translational challenges in harmonizing heterogeneous datasets, as well as the potential of systems biology and machine learning to improve biomarker validation. Particular emphasis is placed on the identification of noncoding RNAs, protein signatures, and metabolic alterations as promising biomarker classes. Finally, we outline future directions for clinical implementation, including the development of multiparameter biomarker panels and precision medicine applications. By bridging molecular complexity with translational utility, multi-omics approaches hold transformative potential to advance biomarker identification and improve patient outcomes in ovarian cancer.]]> Wed, 31 Dec 1969 19:00:00 EST Forensic genetics in the omics era. Kayser M
Nat Rev Genet (Feb 2026)

Recent advances in forensic genetics, driven by technological innovation coupled with the use of an expanding range of nucleic acid markers, have markedly improved the scope, accuracy and reliability of evidential information obtainable from human biological traces recovered at crime scenes. The majority of these biomarkers have been identified using non-targeted omics approaches, including genomics, transcriptomics, epigenomics and microbiome profiling. Moreover, targeted massively parallel sequencing, in some cases non-targeted whole-genome sequencing, are being applied to the analyses of biological trace material. These approaches and methods are being used for the identification of perpetrators (including monozygotic twins), their relatives or victims of criminal activities; the prediction of phenotypic and behavioural traits of unknown individuals; and the determination of trace characteristics, including tissue type and time of deposition.]]> Wed, 31 Dec 1969 19:00:00 EST Genomic imprinting in an early-diverging angiosperm reveals an ancient mechanism for seed initiation in flowering plants. Florez-Rueda AM, Scharmann M, de Souza LP, Fernie AR, Bachelier JB, Figueiredo DD
New Phytol (Feb 2026)

]]> Wed, 31 Dec 1969 19:00:00 EST Maternal UPD(20) Leading to Mulchandani-Bhoj-Conlin Syndrome: A Rare Neonatal Case With Additional TRPS1 Deletion. Zhang J, Chen X, Chen M, Wu S, Huang F, Pan R, Chen G
Am J Med Genet A (Feb 2026)

Mulchandani-Bhoj-Conlin syndrome is an extremely rare imprinting disorder caused by maternal uniparental disomy of chromosome 20, primarily characterized by intrauterine growth restriction, severe postnatal growth failure, and feeding difficulties. Here, we report a neonate diagnosed with Mulchandani-Bhoj-Conlin syndrome via whole exome sequencing and copy number variation analysis, which also identified a 0.26 Mb deletion on chromosome 8q23.3 affecting the TRPS1 gene, associated with Trichorhinophalangeal syndrome. We describe the clinical features and genetic findings of this infant, with the aim of contributing to a better understanding of these two rare diseases.]]> Wed, 31 Dec 1969 19:00:00 EST A smoothing method for DNA methylome analysis to enhance epigenomic signature detection in epigenome-wide association studies. Oussalah A, Mousel L, Trégouët DA, Guéant JL
Methods (Feb 2026)

Epigenome-wide association studies (EWAS) are instrumental for mapping DNA methylation changes in human traits and diseases but often suffer from low statistical power and false positives, especially in small cohorts. We developed an EWAS smoothing method that exploits co-methylation of adjacent CpG probes within CpG islands via a sliding-window average and generalized it using Savitzky-Golay filtering. We applied the smoothing approach-with window widths of 1-3 CpGs and, for generalization, Savitzky-Golay filters of varying polynomial orders and window sizes-across five distinct EWAS settings. Performance was quantified by signal-to-noise ratio (SNR), noise-variance reduction, variance ratio (VR), Bayes factors, and sample-size sensitivity. In the MMACHC epimutation dataset, a 5-CpG window (width, w = 2) increased SNR by 90 %, reduced noise variance by 80 %, and elevated VR by 176 % at the target CpG island, with no genome-wide false positives. For MLH1, smoothing preserved the top association and suppressed background signals. In the aging EWAS, a "Polyepigenetic CpG aging score" was derived following smoothing. This score correlated strongly with chronological age in the discovery cohort (Spearman's ρ = 0.89; P = 3.0 × 10) and was independently validated in a separate dataset, significantly distinguishing newborns from nonagenarians (P = 3.4 × 10). Savitzky-Golay filtering of order 0 with a 5-CpG window yielded optimal SNR across bootstrap iterations, supporting this configuration as a robust choice for methylation array smoothing. As an extension of the Savitzky-Golay-based smoothing framework, reanalysis of a liver cancer dataset identified five top loci surpassing a smoothed P-value threshold of 1 × 10. Among these, MIR10A within the HOXB3 locus was the only previously reported functionally relevant site. In conclusion, the smoothing method improves EWAS performance by enhancing SNR, enabling detection of meaningful associations even in small cohorts, and offers a valuable tool for reanalyzing existing Infinium methylation array datasets to uncover previously undetected epigenomic signatures.]]> Wed, 31 Dec 1969 19:00:00 EST Epigenomic subtypes and prognostic methylation signatures in clear cell renal cell carcinoma. Iisager L, Lindgaard C, Ahrenfeldt J, Jespersen J, Kondrup K, Zanini L, Keller AK, Raaby L, Thorlund MG, Sørensen KD, Fristrup N, Lyskjær I
Clin Epigenetics (Jan 2026)

Clear cell renal cell carcinoma (ccRCC) is characterized by marked epigenetic dysregulation, contributing to aberrant gene expression and tumor progression. To expand current knowledge on genome-wide methylation patterns in ccRCC, we performed Methylated DNA Immunoprecipitation sequencing (MeDIP-seq) on tumor samples from 116 ccRCC patients and 34 adjacent normal renal tissues. We identified differentially methylated regions (DMRs) and integrated these findings with genome-wide copy number alterations.]]> Wed, 31 Dec 1969 19:00:00 EST Advancements in Pathogenic Genes and Biomarkers for Non-syndromic Cleft Lip With or Without Cleft Palate Via Multiomics. Yang C, Ding L, Dong Y, Wang Y, Cao S, Yuan Z, Jia S
Int Dent J (Feb 2026)

Non-syndromic cleft lip with or without cleft palate (nsCL/P) is a common congenital malformation influenced by a combination of environmental and genetic factors. nsCL/P is usually diagnosed using fetal ultrasound during the late second trimester; however, these results are often affected by factors such as instruments, fetal position, and maternal obesity. Moreover, by this time, structural anomalies in the fetuses are already formed and missed optimal time for intervention. Therefore, identifying more efficient and non-invasive biomarkers before fetal ultrasound is essential. In recent years, rapidly evolving omics technologies, including genomics, transcriptomics, proteomics, lipidomics, epigenomics, and single-cell omics, have been used to identify several nsCL/P-associated risk genes. Additionally, omics technologies have proven invaluable for investigating non-invasive biomarkers for prenatal diagnosis of nsCL/P. Therefore, this article reviews the current applications of multi-omics technologies in nsCL/P research, focusing on their use to identify pathogenic genes and the research advances in prenatal diagnosis. We highlighted the technological landscape and applications of multi-omics in nsCL/P, and explored the potential opportunities and challenges for future clinical practice.]]> Wed, 31 Dec 1969 19:00:00 EST Integrative Multiomics Insights into the Genetic and Epigenetic Architecture of Alzheimer's Disease. Mishra AK, Jain S
ACS Chem Neurosci (Jan 2026)

Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder driven by complex genetic and molecular interactions. Despite major advances in genomics, current discoveries explain less than 40% of AD heritability, underscoring the need for integrative approaches that capture cross-omic regulation. Here, we propose a multiomics integration framework combining genomic, epigenomic, and transcriptomic data sets to identify convergent molecular signatures underlying AD pathogenesis. An integrated epigenome-wide association study-genome wide association study (EWAS-GWAS) analysis using GeneCards and VarElect identified 42 candidate genes, showing overlap between genetic susceptibility and epigenetic dysregulation. These include canonical AD loci (APOE, CLU, BIN1, PICALM, and TREM2) and novel regulatory genes such as AKT1, DOT1L, SREBF1, and PVT1. Network analysis revealed 32 nodes and 30 edges with an average node degree of 1.88 and a protein-protein interaction (PPI) enrichment p-value of 6.45 × 10, indicating significant functional connectivity. Integrative pathway mapping highlighted mitochondrial-nuclear cross-talk, metabolic dysfunction, and noncoding RNA regulation as central pathogenic axes. This multilayered approach bridges static genomic variants with dynamic epigenetic and transcriptomic alterations, offering a systems-level view of disease mechanisms. Methodologically, the framework integrates EWAS-GWAS correlation, functional annotation, and PPI modeling to prioritize biologically relevant targets. Translationally, these findings reveal potential methylation-based biomarkers, polygenic-epigenetic risk models, and targetable molecular pathways for early detection and precision therapeutics. Overall, this integrative strategy enhances mechanistic understanding and supports the development of predictive, multiomic tools for individualized AD management.]]> Wed, 31 Dec 1969 19:00:00 EST TALE Homeodomain Proteins in Plant Reproductive Development and Environmental Stress Resilience. Niu X, Jiang X, Li H, Qin R, Qin Y
Plant Cell Environ (Feb 2026)

TALE (Three Amino acid Loop Extension) homeodomain transcription factors are key conserved elements in eukaryotic developmental patterning. In plants, this superclass divides into the KNOX and BELL families, which are essential for regulating meristem maintenance, organogenesis, and tissue identity. Recent advances show that TALE proteins are intricately involved in plant reproductive processes, including gametophyte differentiation, embryonic axis formation, and floral organogenesis. They function as molecular scaffolds, integrating spatiotemporal signals and hormonal signaling like auxin, cytokinin, and gibberellin to control phase transitions and reproductive cell fate determination. The lineage-specific expansions and domain rearrangements of TALE genes across bryophytes, gymnosperms, and angiosperms indicate repeated co-option and neofunctionalization throughout land plant evolution. Emerging insights from epigenomics and protein interactomes reveal that TALE complexes modulate cell type-specific transcriptional responses. This review synthesizes current understanding of TALE-mediated regulatory networks during plant reproductive development and presents a conceptual framework for investigating their roles in developmental plasticity and stress-responsive fertility. We also highlight opportunities to utilize TALE-based regulatory modules to develop climate-resilient crops through multi-omics and genome editing approaches. Decoding the reproductive logic embedded in TALE networks offers transformative potential for reprogramming plant development in an era of agricultural and ecological uncertainty.]]> Wed, 31 Dec 1969 19:00:00 EST Learning a Pairwise Epigenomic and Transcription Factor Binding Association Score Across the Human Genome. Kwon SB, Ernst J
Bioinformatics (Jan 2026)

Identifying pairwise associations between genomic loci is an important challenge for which large and diverse collections of epigenomic and transcription factor (TF) binding data can potentially be informative.]]> Wed, 31 Dec 1969 19:00:00 EST