Briefings in Functional Genomics

Papers
(The median citation count of Briefings in Functional Genomics is 1. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Application of CRISPR screens to investigate mammalian cell competition32
Environmental community transcriptomics: strategies and struggles31
Crosstalk between genomic variants and DNA methylation in FLT3 mutant acute myeloid leukemia29
Integrating single-cell RNA sequencing data to genome-wide association analysis data identifies significant cell types in influenza A virus infection and COVID-1925
The three-dimensional genome in zebrafish development25
AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data23
Interpretation of SNP combination effects on schizophrenia etiology based on stepwise deep learning with multi-precision data22
Respiratory tract infection: an unfamiliar risk factor in high-altitude pulmonary edema22
A systematic analyses of different bioinformatics pipelines for genomic data and its impact on deep learning models for chromatin loop prediction22
Short-homology-mediated PCR-based method for gene introduction in the fission yeast Schizosaccharomyces pombe18
Computational drug repurposing for viral infectious diseases: a case study on monkeypox16
Identifying magnetosome-associated genes in the extended CtrA regulon inMagnetospirillum magneticumAMB-1 using a combinational approach15
Role of gut-microbiota in disease severity and clinical outcomes14
Experimental and computational methods for studying the dynamics of RNA–RNA interactions in SARS-COV2 genomes14
From bench to bedside: potential of translational research in COVID-19 and beyond13
ASACO: Automatic and Serial Analysis of CO-expression to discover gene modifiers with potential use in drug repurposing12
Genomics in Clinical trials for Breast Cancer12
Emerging trends in functional genomics in Spiralia12
Emerging questions on the mechanisms and dynamics of 3D genome evolution in spiralians11
The role of the X chromosome in infectious diseases11
Single-cell transcriptomics refuels the exploration of spiralian biology11
The regulatory role of non-coding RNAs and their interactions with phytochemicals in neurodegenerative diseases: a systematic review11
Biological functions of RNA modifications10
Prognostic signature analysis and survival prediction of esophageal cancer based on N6-methyladenosine associated lncRNAs10
Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis9
Tau–FG-nucleoporin98 interaction and impaired nucleocytoplasmic transport in Alzheimer’s disease9
Pretraining model for biological sequence data9
A comprehensive protein design protocol to identify resistance mutations and signatures of adaptation in pathogens9
Review of multi-omics data resources and integrative analysis for human brain disorders9
Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease9
Functional genomics in Spiralia8
Targeting novel sites in DNA gyrase for development of anti-microbials8
Gene regulatory network inference based on novel ensemble method8
Integrating multi-omics data to analyze the potential pathogenic mechanism of CTSH gene involved in type 1 diabetes in the exocrine pancreas8
A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data8
Identifying preeclampsia-associated genes using a control theory method8
DockingGA: enhancing targeted molecule generation using transformer neural network and genetic algorithm with docking simulation7
A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes7
Application of computational algorithms for single-cell RNA-seq and ATAC-seq in neurodegenerative diseases7
Microscale marvels: unveiling the macroscopic significance of micropeptides in human health7
Sesame Genomic Web Resource (SesameGWR): a well-annotated data resource for transcriptomic signatures of abiotic and biotic stress responses in sesame (Sesamum indicum L.)7
Single-cell RNA-seq data clustering by deep information fusion6
Precision omics data integration and analysis with interoperable ontologies and their application for COVID-19 research6
Multi-omics approaches to therapeutic target identification6
Loosening chromatin and dysregulated transcription: a perspective on cryptic transcription during mammalian aging6
A systematic view of computational methods for identifying driver genes based on somatic mutation data6
Identification of deleterious variants of uncertain significance in BRCA2 BRC4 repeat through molecular dynamics simulations5
Multi-omics studies in interpreting the evolving standard model for immune functions5
Diversity and novel mutations in membrane transporters ofMycobacterium tuberculosis5
Recent insights into crosstalk between genetic parasites and their host genome5
Promoter–motif extraction from co-regulated genes and their relevance to co-expression usingE. colias a model5
New tools for ‘ZEBRA-FISHING’5
DNA methylation and histone modifications are essential for regulation of stem cell formation and differentiation in zebrafish development4
Molecular insights on the origin and development of waxy genotypes in major crop plants4
RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features4
DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information4
Corrigendum to: Spec-seq: determining protein-DNA-binding specificity by sequencing4
Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome4
Revisiting hematopoiesis: applications of the bulk and single-cell transcriptomics dissecting transcriptional heterogeneity in hematopoietic stem cells4
DBPMod: a supervised learning model for computational recognition of DNA-binding proteins in model organisms4
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning4
Simultaneous compression of multiple error-corrected short-read sets for faster data transmission and betterde novoassemblies4
Review of unsupervised pretraining strategies for molecules representation4
The functional impact of nuclear reorganization in cellular senescence4
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information4
Single-cell sequencing: expansion, integration and translation3
Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning3
Comparison of scRNA-seq data analysis method combinations3
A review: simulation tools for genome-wide interaction studies3
Current status and future prospects of drug–target interaction prediction3
AMLdb: a comprehensive multi-omics platform to identify biomarkers and drug targets for acute myeloid leukemia3
Genetic variation mining of the Chinese mitten crab (Eriocheir sinensis) based on transcriptome data from public databases3
Comprehensive omics studies of p53 mutants in human cancer3
Briefings in functional genomics special section editorial: analysis of integrated multiple omics data3
Multi-omics integration analysis reveals the role of N6-methyladenosine in lncRNA translation during glioma stem cell differentiation3
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning3
Long-read RNA sequencing can probe organelle genome pervasive transcription3
Network-medicine approach for the identification of genetic association of parathyroid adenoma with cardiovascular disease and type-2 diabetes3
Characterization of double-stranded RNA and its silencing efficiency for insects using hybrid deep-learning framework3
Potential therapeutic targets of Klebsiella pneumoniae: a multi-omics review perspective3
Integrating multi-omics data to identify dysregulated modules in endometrial cancer3
Investigating the molecular guts of endoderm formation using zebrafish2
Prediction of strand-specific and cell-type-specific G-quadruplexes based on high-resolution CUT&Tag data2
Integrative analyses of transcriptome data reveal the mechanisms of post-transcriptional regulation2
Digital PCR and its applications in noninvasive prenatal testing2
Integrated multi-cohorts for characterizing the immunogenomic landscape and predicting drug response in triple-negative breast cancer2
Functional genomics of inflamm-aging and immunosenescence2
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
NTpred: a robust and precise machine learning framework forin silicoidentification of Tyrosine nitration sites in protein sequences2
Towards spatio-temporally resolved developmental cardiac gene regulatory networks in zebrafish2
Perspectives of using Cloud computing in integrative analysis of multi-omics data2
Multiomics technologies: role in disease biomarker discoveries and therapeutics2
Functional characteristics of DNA N6-methyladenine modification based on long-read sequencing in pancreatic cancer2
Evaluation of tools for taxonomic classification of viruses2
Correction to: Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data2
Herbgenomics meets Papaveraceae: a promising -omics perspective on medicinal plant research2
BioDKG–DDI: predicting drug–drug interactions based on drug knowledge graph fusing biochemical information2
Transcriptional advantage influence odorant receptor gene choice2
Machine learning approaches for predicting biomolecule–disease associations2
The non-coding epitranscriptome in cancer2
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants2
A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs2
Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines2
Editorial for BFG special issue: Computational genomics for precision medicine and personalized healthcare2
Bioinformatics tools used for whole-genome sequencing analysis of Neisseria gonorrhoeae: a literature review1
On the importance of evolutionary constraint for regulatory sequence identification1
Functional genomics of ageing: implications of chromatin landscape and beyond1
pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R1
GAM-MDR: probing miRNA–drug resistance using a graph autoencoder based on random path masking1
Genomic islands and their role in fitness traits of two key sepsis-causing bacterial pathogens1
Identification of long noncoding RNAs with machine learning methods: a review1
Infectious disease mRNA vaccines and a review on epitope prediction for vaccine design1
Single-cell genomics to study developmental cell fate decisions in zebrafish1
Mapping of long stretches of highly conserved sequences in over 6 million SARS-CoV-2 genomes1
Stratification of ovarian cancer patients from the prospect of drug target-related transcription factor protein activity: the prognostic and genomic landscape analyses1
Neoepitopes prediction strategies: an integration of cancer genomics and immunoinformatics approaches1
Predicting gastric cancer tumor mutational burden from histopathological images using multimodal deep learning1
m6A RNA modification pathway: orchestrating fibrotic mechanisms across multiple organs1
Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping1
Genome-wide screens in yeast models towards understanding chronological lifespan regulation1
Spiralian genomics and the evolution of animal genome architecture1
Competing endogenous RNAs in head and neck squamous cell carcinoma: a review1
SARS-CoV-2 ORF8 dimerization and binding mode analysis with class I MHC: computational approaches to identify COVID-19 inhibitors1
Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories1
Prediction of drug–protein interaction based on dual channel neural networks with attention mechanism1
Accurate prediction and key protein sequence feature identification of cyclins1
Detecting early-warning signals for influenza by dysregulated dynamic network biomarkers1
A lossless reference-free sequence compression algorithm leveraging grammatical, statistical, and substitution rules1
Exploring the impact of N4-acetylcytidine modification in RNA on non-neoplastic disease: unveiling its role in pathogenesis and therapeutic opportunities1
Correction to: Emerging challenge: dynamic solution structures of nucleic acids1
Network-based methods for gene function prediction1
A comprehensive review of deep learning-based variant calling methods1
Adaptive deep propagation graph neural network for predicting miRNA–disease associations1
Integration of hybrid and self-correction method improves the quality of long-read sequencing data1
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