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 2021-04-01 to 2025-04-01.)
ArticleCitations
Pretraining model for biological sequence data40
Short-homology-mediated PCR-based method for gene introduction in the fission yeast Schizosaccharomyces pombe34
Environmental community transcriptomics: strategies and struggles34
Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease33
Targeting novel sites in DNA gyrase for development of anti-microbials27
AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data26
Emerging trends in functional genomics in Spiralia26
Computational drug repurposing for viral infectious diseases: a case study on monkeypox22
ASACO: Automatic and Serial Analysis of CO-expression to discover gene modifiers with potential use in drug repurposing21
Integrating single-cell RNA sequencing data to genome-wide association analysis data identifies significant cell types in influenza A virus infection and COVID-1920
Single-cell transcriptomics refuels the exploration of spiralian biology17
Role of gut-microbiota in disease severity and clinical outcomes17
Emerging questions on the mechanisms and dynamics of 3D genome evolution in spiralians16
Crosstalk between genomic variants and DNA methylation in FLT3 mutant acute myeloid leukemia14
Experimental and computational methods for studying the dynamics of RNA–RNA interactions in SARS-COV2 genomes14
A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data14
Functional genomics in Spiralia12
Sesame Genomic Web Resource (SesameGWR): a well-annotated data resource for transcriptomic signatures of abiotic and biotic stress responses in sesame (Sesamum indicum L.)12
Interpretation of SNP combination effects on schizophrenia etiology based on stepwise deep learning with multi-precision data12
Prognostic signature analysis and survival prediction of esophageal cancer based on N6-methyladenosine associated lncRNAs11
Gene regulatory network inference based on novel ensemble method11
Application of computational algorithms for single-cell RNA-seq and ATAC-seq in neurodegenerative diseases11
The regulatory role of non-coding RNAs and their interactions with phytochemicals in neurodegenerative diseases: a systematic review11
A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes11
Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis10
Review of multi-omics data resources and integrative analysis for human brain disorders10
Identifying magnetosome-associated genes in the extended CtrA regulon inMagnetospirillum magneticumAMB-1 using a combinational approach9
Tau–FG-nucleoporin98 interaction and impaired nucleocytoplasmic transport in Alzheimer’s disease9
Identifying preeclampsia-associated genes using a control theory method9
From bench to bedside: potential of translational research in COVID-19 and beyond9
The role of the X chromosome in infectious diseases9
Respiratory tract infection: an unfamiliar risk factor in high-altitude pulmonary edema8
Integrating multi-omics data to analyze the potential pathogenic mechanism of CTSH gene involved in type 1 diabetes in the exocrine pancreas8
A systematic analyses of different bioinformatics pipelines for genomic data and its impact on deep learning models for chromatin loop prediction8
A comprehensive protein design protocol to identify resistance mutations and signatures of adaptation in pathogens8
A systematic view of computational methods for identifying driver genes based on somatic mutation data7
Multi-omics approaches to therapeutic target identification7
Corrigendum to: Spec-seq: determining protein-DNA-binding specificity by sequencing7
Single-cell RNA-seq data clustering by deep information fusion7
Microscale marvels: unveiling the macroscopic significance of micropeptides in human health7
Precision omics data integration and analysis with interoperable ontologies and their application for COVID-19 research7
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning7
Genomics in Clinical trials for Breast Cancer7
Identification of deleterious variants of uncertain significance in BRCA2 BRC4 repeat through molecular dynamics simulations6
Recent insights into crosstalk between genetic parasites and their host genome6
Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome6
Promoter–motif extraction from co-regulated genes and their relevance to co-expression usingE. colias a model5
DBPMod: a supervised learning model for computational recognition of DNA-binding proteins in model organisms5
Molecular insights on the origin and development of waxy genotypes in major crop plants5
Multi-omics studies in interpreting the evolving standard model for immune functions5
Loosening chromatin and dysregulated transcription: a perspective on cryptic transcription during mammalian aging5
Genetic variation mining of the Chinese mitten crab (Eriocheir sinensis) based on transcriptome data from public databases5
RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features5
DockingGA: enhancing targeted molecule generation using transformer neural network and genetic algorithm with docking simulation5
Simultaneous compression of multiple error-corrected short-read sets for faster data transmission and betterde novoassemblies5
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information4
Long-read RNA sequencing can probe organelle genome pervasive transcription4
Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning4
A review: simulation tools for genome-wide interaction studies4
Integrated multi-cohorts for characterizing the immunogenomic landscape and predicting drug response in triple-negative breast cancer4
DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information4
Revisiting hematopoiesis: applications of the bulk and single-cell transcriptomics dissecting transcriptional heterogeneity in hematopoietic stem cells4
Towards spatio-temporally resolved developmental cardiac gene regulatory networks in zebrafish4
GAM-MDR: probing miRNA–drug resistance using a graph autoencoder based on random path masking4
Digital PCR and its applications in noninvasive prenatal testing4
Diversity and novel mutations in membrane transporters ofMycobacterium tuberculosis4
Comprehensive omics studies of p53 mutants in human cancer4
Review of unsupervised pretraining strategies for molecules representation4
m6A RNA modification pathway: orchestrating fibrotic mechanisms across multiple organs4
Comparison of scRNA-seq data analysis method combinations4
Briefings in functional genomics special section editorial: analysis of integrated multiple omics data4
Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines3
Functional characteristics of DNA N6-methyladenine modification based on long-read sequencing in pancreatic cancer3
A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs3
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning3
Evaluation of tools for taxonomic classification of viruses3
Single-cell sequencing: expansion, integration and translation3
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants3
Transcriptional advantage influence odorant receptor gene choice3
Herbgenomics meets Papaveraceae: a promising -omics perspective on medicinal plant research2
Multi-omics integration analysis reveals the role of N6-methyladenosine in lncRNA translation during glioma stem cell differentiation2
NTpred: a robust and precise machine learning framework forin silicoidentification of Tyrosine nitration sites in protein sequences2
Correction to: Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data2
Integrating multi-omics data to identify dysregulated modules in endometrial cancer2
A lossless reference-free sequence compression algorithm leveraging grammatical, statistical, and substitution rules2
Potential therapeutic targets of Klebsiella pneumoniae: a multi-omics review perspective2
Stratification of ovarian cancer patients from the prospect of drug target-related transcription factor protein activity: the prognostic and genomic landscape analyses2
Prediction of strand-specific and cell-type-specific G-quadruplexes based on high-resolution CUT&Tag data2
Current status and future prospects of drug–target interaction prediction2
Characterization of double-stranded RNA and its silencing efficiency for insects using hybrid deep-learning framework2
pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R2
Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping2
Network-medicine approach for the identification of genetic association of parathyroid adenoma with cardiovascular disease and type-2 diabetes2
Spiralian genomics and the evolution of animal genome architecture2
Multiomics technologies: role in disease biomarker discoveries and therapeutics2
Integration of hybrid and self-correction method improves the quality of long-read sequencing data2
Exploring the impact of N4-acetylcytidine modification in RNA on non-neoplastic disease: unveiling its role in pathogenesis and therapeutic opportunities2
Cell type and gene regulatory network approaches in the evolution of spiralian biomineralisation2
A systematic evaluation of the computational tools for ligand-receptor-based cell–cell interaction inference2
AMLdb: a comprehensive multi-omics platform to identify biomarkers and drug targets for acute myeloid leukemia2
BioDKG–DDI: predicting drug–drug interactions based on drug knowledge graph fusing biochemical information2
Editorial for BFG special issue: Computational genomics for precision medicine and personalized healthcare2
Functional genomics of ageing: implications of chromatin landscape and beyond2
Correction to: Emerging challenge: dynamic solution structures of nucleic acids2
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