Briefings in Functional Genomics

Papers
(The median citation count of Briefings in Functional Genomics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Single-cell transcriptomics refuels the exploration of spiralian biology44
Role of gut-microbiota in disease severity and clinical outcomes41
Environmental community transcriptomics: strategies and struggles38
Experimental and computational methods for studying the dynamics of RNA–RNA interactions in SARS-COV2 genomes37
Comprehensive omics studies of p53 mutants in human cancer33
Corrigendum to: Spec-seq: determining protein-DNA-binding specificity by sequencing29
Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome26
Single-cell RNA-seq data clustering by deep information fusion23
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning21
Revisiting hematopoiesis: applications of the bulk and single-cell transcriptomics dissecting transcriptional heterogeneity in hematopoietic stem cells20
Genetic variation mining of the Chinese mitten crab (Eriocheir sinensis) based on transcriptome data from public databases20
Prediction of strand-specific and cell-type-specific G-quadruplexes based on high-resolution CUT&Tag data20
Herbgenomics meets Papaveraceae: a promising -omics perspective on medicinal plant research19
Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines17
Network-medicine approach for the identification of genetic association of parathyroid adenoma with cardiovascular disease and type-2 diabetes16
Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping14
A lossless reference-free sequence compression algorithm leveraging grammatical, statistical, and substitution rules13
Functional genomics of ageing: implications of chromatin landscape and beyond12
Advances in integrating single-cell sequencing data to unravel the mechanism of ferroptosis in cancer12
Genomic islands and their role in fitness traits of two key sepsis-causing bacterial pathogens11
Mapping of long stretches of highly conserved sequences in over 6 million SARS-CoV-2 genomes11
Use of in silico approaches, synthesis and profiling of Pan-filovirus GP-1,2 preprotein specific antibodies11
Predicting drug synergy using a network propagation inspired machine learning framework10
Systematic benchmark of single-cell hashtag demultiplexing approaches reveals robust performance of a clustering-based method10
Recent advances in differential expression analysis for single-cell RNA-seq and spatially resolved transcriptomic studies10
Expanding interactome analyses beyond model eukaryotes9
STAT3-dependent long non-coding RNA Lncenc1 contributes to mouse ES cells pluripotency via stabilizing Klf4 mRNA9
DeepPRMS: advanced deep learning model to predict protein arginine methylation sites9
Interpretation of SNP combination effects on schizophrenia etiology based on stepwise deep learning with multi-precision data9
DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features9
Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning8
Correction to: Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data8
Multi-omics studies in interpreting the evolving standard model for immune functions8
NTpred: a robust and precise machine learning framework forin silicoidentification of Tyrosine nitration sites in protein sequences8
Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis8
A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data8
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning7
Single-cell sequencing: expansion, integration and translation7
The frontier of precision medicine: application of single-cell multi-omics in preimplantation genetic diagnosis7
A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs7
A systematic evaluation of the computational tools for ligand-receptor-based cell–cell interaction inference7
Genomic insights into bacteriophages: a new frontier in AMR detection and phage therapy7
SARS-CoV-2 ORF8 dimerization and binding mode analysis with class I MHC: computational approaches to identify COVID-19 inhibitors7
Spiralian genomics and the evolution of animal genome architecture7
m6A RNA modification pathway: orchestrating fibrotic mechanisms across multiple organs7
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology7
Correction to: Omics-based deep learning approaches for lung cancer decision-making and therapeutics development6
Attention-based GCN integrates multi-omics data for breast cancer subtype classification and patient-specific gene marker identification6
A survey on protein–DNA-binding sites in computational biology6
MiRNA–gene network embedding for predicting cancer driver genes6
Advancements in genetic techniques and functional genomics for enhancing crop traits and agricultural sustainability6
Less is more: relative rank is more informative than absolute abundance for compositional NGS data6
Multi-omics therapeutic perspective on ACVR1 gene: from genetic alterations to potential targeting6
An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis6
Identifying magnetosome-associated genes in the extended CtrA regulon inMagnetospirillum magneticumAMB-1 using a combinational approach5
Pregnancy-specific glycoproteins as potential drug targets for female lung adenocarcinoma patients5
DeepWalk-aware graph attention networks with CNN for circRNA–drug sensitivity association identification5
Emerging trends in functional genomics in Spiralia5
High-level RNA editing diversifies the coleoid cephalopod brain proteome5
Integrating single-cell RNA sequencing data to genome-wide association analysis data identifies significant cell types in influenza A virus infection and COVID-194
Targeting novel sites in DNA gyrase for development of anti-microbials4
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information4
Cell type and gene regulatory network approaches in the evolution of spiralian biomineralisation4
Short-homology-mediated PCR-based method for gene introduction in the fission yeast Schizosaccharomyces pombe4
A comprehensive protein design protocol to identify resistance mutations and signatures of adaptation in pathogens4
RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features4
Digital PCR and its applications in noninvasive prenatal testing4
Promoter–motif extraction from co-regulated genes and their relevance to co-expression usingE. colias a model4
From bench to bedside: potential of translational research in COVID-19 and beyond4
A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes4
Molecular insights on the origin and development of waxy genotypes in major crop plants4
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants4
Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward3
miRNome-transcriptome analysis unveils the key regulatory pathways involved in the tumorigenesis of tongue squamous cell carcinoma3
Widespread transcriptomic alterations of transient receptor potential channel genes in cancer3
Advancing disease genomics beyond COVID-19 and reducing health disparities: what does the future hold for Africa?3
An overview of key online resources for human genomics: a powerful and open toolbox for in silico research3
SAMP: Identifying antimicrobial peptides by an ensemble learning model based on proportionalized split amino acid composition3
Discoveries by the genome profiling, symbolic powers of non-next generation sequencing methods3
Comparison of scRNA-seq data analysis method combinations3
SCMcluster: a high-precision cell clustering algorithm integrating marker gene set with single-cell RNA sequencing data3
Single-cell multi-omics sequencing and its application in tumor heterogeneity3
Computational approaches for direct cell reprogramming: from the bulk omics era to the single cell era3
Using artificial intelligence and statistics for managing peritoneal metastases from gastrointestinal cancers3
Multiomics technologies: role in disease biomarker discoveries and therapeutics3
Correction to: STAT3-dependent long non-coding RNA Lncenc1 contributes to mouse ES cells pluripotency via stabilizing Klf4 mRNA3
pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R3
Detecting early-warning signals for influenza by dysregulated dynamic network biomarkers3
Significance of understanding the genomics of host–pathogen interaction in limiting antibiotic resistance development: lessons from COVID-19 pandemic3
Multifactorial feature extraction and site prognosis model for protein methylation data3
Molecular language models: RNNs or transformer?3
Subtyping and grading of lower-grade gliomas using integrated feature selection and support vector machine3
Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories3
Identification of deleterious variants of uncertain significance in BRCA2 BRC4 repeat through molecular dynamics simulations2
Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease2
AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data2
Genomics in Clinical trials for Breast Cancer2
Characterization of double-stranded RNA and its silencing efficiency for insects using hybrid deep-learning framework2
Prediction of drug–protein interaction based on dual channel neural networks with attention mechanism2
Enhancer RNA in cancer: identification, expression, resources, relationship with immunity, drugs, and prognosis2
Exploring the impact of N4-acetylcytidine modification in RNA on non-neoplastic disease: unveiling its role in pathogenesis and therapeutic opportunities2
Application of computational algorithms for single-cell RNA-seq and ATAC-seq in neurodegenerative diseases2
The role of the X chromosome in infectious diseases2
iEnhancer-DLRA: identification of enhancers and their strengths by a self-attention fusion strategy for local and global features2
DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information2
Microscale marvels: unveiling the macroscopic significance of micropeptides in human health2
EnsembleSE: identification of super-enhancers based on ensemble learning2
Integrated multi-cohorts for characterizing the immunogenomic landscape and predicting drug response in triple-negative breast cancer2
Crosstalk between genomic variants and DNA methylation in FLT3 mutant acute myeloid leukemia2
Integrating multi-omics data to analyze the potential pathogenic mechanism of CTSH gene involved in type 1 diabetes in the exocrine pancreas2
Long-read RNA sequencing can probe organelle genome pervasive transcription2
Gene regulatory network inference based on novel ensemble method2
Genome structural dynamics: insights from Gaussian network analysis of Hi-C data2
Correction to: STAT3-dependent long non-coding RNA Lncenc1 contributes to mouse ES cells pluripotency via stabilizing Klf4 mRNA2
Multi-omics integration analysis reveals the role of N6-methyladenosine in lncRNA translation during glioma stem cell differentiation2
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