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 2020-11-01 to 2024-11-01.)
ArticleCitations
Prediction of bio-sequence modifications and the associations with diseases66
Sequence representation approaches for sequence-based protein prediction tasks that use deep learning42
Potential therapeutic targets of Klebsiella pneumoniae: a multi-omics review perspective31
Critical evaluation of web-based DNA N6-methyladenine site prediction tools30
Review of unsupervised pretraining strategies for molecules representation28
BioDKG–DDI: predicting drug–drug interactions based on drug knowledge graph fusing biochemical information25
Review of multi-omics data resources and integrative analysis for human brain disorders25
The functional impact of nuclear reorganization in cellular senescence23
Functional genomics of inflamm-aging and immunosenescence22
Pretraining model for biological sequence data22
Multiomics technologies: role in disease biomarker discoveries and therapeutics21
The impact of epitranscriptomic marks on post-transcriptional regulation in plants20
A comprehensive review for gut microbes: technologies, interventions, metabolites and diseases19
Infectious disease mRNA vaccines and a review on epitope prediction for vaccine design19
Revisiting hematopoiesis: applications of the bulk and single-cell transcriptomics dissecting transcriptional heterogeneity in hematopoietic stem cells18
Non-CpG methylation—a key epigenetic modification in cancer16
A systematic review of computational methods for predicting long noncoding RNAs15
Current status and future prospects of drug–target interaction prediction14
A systematic evaluation of the computational tools for ligand-receptor-based cell–cell interaction inference14
Network-based methods for gene function prediction13
Machine learning approaches for predicting biomolecule–disease associations12
Omics-based deep learning approaches for lung cancer decision-making and therapeutics development12
An update: mechanisms of microRNA in primary open-angle glaucoma12
The non-coding epitranscriptome in cancer12
A survey on protein–DNA-binding sites in computational biology11
Single-cell RNA sequencing analyses: interference by the genes that encode the B-cell and T-cell receptors11
Application of omics research in seaweeds with a focus on red seaweeds10
Seven autophagy-related lncRNAs are associated with the tumor immune microenvironment in predicting survival risk of nonsmall cell lung cancer9
Noncoding RNAs: modulators and modulatable players during infection-induced stress response9
Precision omics data integration and analysis with interoperable ontologies and their application for COVID-19 research9
Multifactorial feature extraction and site prognosis model for protein methylation data9
Emerging roles of RNA modifications in genome integrity9
Computational resources for identification of cancer biomarkers from omics data9
Single-cell sequencing: expansion, integration and translation9
PGRNIG: novel parallel gene regulatory network identification algorithm based on GPU8
Digital PCR and its applications in noninvasive prenatal testing8
Functional long non-coding and circular RNAs in zebrafish8
Adaptive deep propagation graph neural network for predicting miRNA–disease associations8
Targeting novel sites in DNA gyrase for development of anti-microbials8
Molecular language models: RNNs or transformer?8
Genome-wide screens in yeast models towards understanding chronological lifespan regulation8
Tau–FG-nucleoporin98 interaction and impaired nucleocytoplasmic transport in Alzheimer’s disease8
Deep learning tools are top performers in long non-coding RNA prediction7
Spiralian genomics and the evolution of animal genome architecture7
The role of the X chromosome in infectious diseases7
SARS-CoV-2 ORF8 dimerization and binding mode analysis with class I MHC: computational approaches to identify COVID-19 inhibitors7
DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information7
Flipping the script: viral capitalization of RNA modifications7
GAM-MDR: probing miRNA–drug resistance using a graph autoencoder based on random path masking7
A comprehensive protein design protocol to identify resistance mutations and signatures of adaptation in pathogens7
Quantifying transcriptome diversity: a review6
Identifying preeclampsia-associated genes using a control theory method6
Subtyping and grading of lower-grade gliomas using integrated feature selection and support vector machine6
Deciphering RNA modifications at base resolution: from chemistry to biology6
Loosening chromatin and dysregulated transcription: a perspective on cryptic transcription during mammalian aging6
THGNCDA: circRNA–disease association prediction based on triple heterogeneous graph network5
Distinct evolutionary pathways for the synthesis and function of tRNA modifications5
Attention-based GCN integrates multi-omics data for breast cancer subtype classification and patient-specific gene marker identification5
Bioinformatics tools used for whole-genome sequencing analysis of Neisseria gonorrhoeae: a literature review5
Integrating multi-omics data to analyze the potential pathogenic mechanism of CTSH gene involved in type 1 diabetes in the exocrine pancreas5
From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing5
Integrative analyses of transcriptome data reveal the mechanisms of post-transcriptional regulation5
MiRNA–gene network embedding for predicting cancer driver genes4
Computational approaches for direct cell reprogramming: from the bulk omics era to the single cell era4
Perspectives of using Cloud computing in integrative analysis of multi-omics data4
Comprehensive omics studies of p53 mutants in human cancer4
The regulatory role of non-coding RNAs and their interactions with phytochemicals in neurodegenerative diseases: a systematic review4
iEnhancer-DLRA: identification of enhancers and their strengths by a self-attention fusion strategy for local and global features4
Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines4
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information4
Identification of deleterious variants of uncertain significance in BRCA2 BRC4 repeat through molecular dynamics simulations4
Integrative genomics important to understand host–pathogen interactions4
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants4
RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features4
A systematic view of computational methods for identifying driver genes based on somatic mutation data4
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning3
Investigating the molecular guts of endoderm formation using zebrafish3
Single-cell multi-omics sequencing and its application in tumor heterogeneity3
Accurate prediction and key protein sequence feature identification of cyclins3
Cell type and gene regulatory network approaches in the evolution of spiralian biomineralisation3
DNA methylation and histone modifications are essential for regulation of stem cell formation and differentiation in zebrafish development3
Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methods3
An improved hierarchical variational autoencoder for cell–cell communication estimation using single-cell RNA-seq data3
Biophysical and modeling-based approach for the identification of inhibitors against DOHH fromLeishmania donovani3
Predicting gastric cancer tumor mutational burden from histopathological images using multimodal deep learning3
Evaluation of tools for taxonomic classification of viruses3
Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis3
Expanding interactome analyses beyond model eukaryotes3
SCMcluster: a high-precision cell clustering algorithm integrating marker gene set with single-cell RNA sequencing data3
miRNome-transcriptome analysis unveils the key regulatory pathways involved in the tumorigenesis of tongue squamous cell carcinoma3
Single-cell RNA-seq data clustering by deep information fusion2
Functional genomics in Spiralia2
Computational drug repurposing for viral infectious diseases: a case study on monkeypox2
Integrating functional scoring and regulatory data to predict the effect of non-coding SNPs in a complex neurological disease2
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology2
Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories2
Transcriptional advantage influence odorant receptor gene choice2
DBPMod: a supervised learning model for computational recognition of DNA-binding proteins in model organisms2
Biological functions of RNA modifications2
Single-cell transcriptomics refuels the exploration of spiralian biology2
An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis2
Recent advances in differential expression analysis for single-cell RNA-seq and spatially resolved transcriptomic studies2
Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data2
Identification of long noncoding RNAs with machine learning methods: a review2
Briefings in functional genomics special section editorial: analysis of integrated multiple omics data2
Molecular insights on the origin and development of waxy genotypes in major crop plants2
Emerging questions on the mechanisms and dynamics of 3D genome evolution in spiralians2
Role of gut-microbiota in disease severity and clinical outcomes2
Comparative studies on the high-performance compression of SARS-CoV-2 genome collections2
Infection outcome needs two to tango: human host and the pathogen2
Stratification of ovarian cancer patients from the prospect of drug target-related transcription factor protein activity: the prognostic and genomic landscape analyses2
Functional characteristics of DNA N6-methyladenine modification based on long-read sequencing in pancreatic cancer2
Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning2
0.025704145431519