Briefings in Functional Genomics

Papers
(The median citation count of Briefings in Functional Genomics is 3. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Environmental community transcriptomics: strategies and struggles50
Experimental and computational methods for studying the dynamics of RNA–RNA interactions in SARS-COV2 genomes49
Single-cell transcriptomics refuels the exploration of spiralian biology43
Role of gut-microbiota in disease severity and clinical outcomes40
Single-cell RNA-seq data clustering by deep information fusion28
Genetic variation mining of the Chinese mitten crab (Eriocheir sinensis) based on transcriptome data from public databases27
Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome24
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning24
Comprehensive omics studies of p53 mutants in human cancer22
Corrigendum to: Spec-seq: determining protein-DNA-binding specificity by sequencing22
Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines21
Revisiting hematopoiesis: applications of the bulk and single-cell transcriptomics dissecting transcriptional heterogeneity in hematopoietic stem cells21
Herbgenomics meets Papaveraceae: a promising -omics perspective on medicinal plant research21
Network-medicine approach for the identification of genetic association of parathyroid adenoma with cardiovascular disease and type-2 diabetes17
Prediction of strand-specific and cell-type-specific G-quadruplexes based on high-resolution CUT&Tag data15
A lossless reference-free sequence compression algorithm leveraging grammatical, statistical, and substitution rules14
Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping13
Advances in integrating single-cell sequencing data to unravel the mechanism of ferroptosis in cancer13
Functional genomics of ageing: implications of chromatin landscape and beyond13
Use of in silico approaches, synthesis and profiling of Pan-filovirus GP-1,2 preprotein specific antibodies12
Genomic islands and their role in fitness traits of two key sepsis-causing bacterial pathogens12
Systematic benchmark of single-cell hashtag demultiplexing approaches reveals robust performance of a clustering-based method12
Mapping of long stretches of highly conserved sequences in over 6 million SARS-CoV-2 genomes12
Predicting drug synergy using a network propagation inspired machine learning framework11
Recent advances in differential expression analysis for single-cell RNA-seq and spatially resolved transcriptomic studies11
STAT3-dependent long non-coding RNA Lncenc1 contributes to mouse ES cells pluripotency via stabilizing Klf4 mRNA11
DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features11
DeepPRMS: advanced deep learning model to predict protein arginine methylation sites10
Expanding interactome analyses beyond model eukaryotes10
A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data9
Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning9
Interpretation of SNP combination effects on schizophrenia etiology based on stepwise deep learning with multi-precision data9
Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis9
NTpred: a robust and precise machine learning framework forin silicoidentification of Tyrosine nitration sites in protein sequences8
m6A RNA modification pathway: orchestrating fibrotic mechanisms across multiple organs8
Multi-omics studies in interpreting the evolving standard model for immune functions8
Correction to: Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data8
Unmeasured human transcription factor ChIP-seq data shape functional genomics and demand strategic prioritization8
Spiralian genomics and the evolution of animal genome architecture7
Genomic insights into bacteriophages: a new frontier in AMR detection and phage therapy7
Correction to: Omics-based deep learning approaches for lung cancer decision-making and therapeutics development7
DeepWalk-aware graph attention networks with CNN for circRNA–drug sensitivity association identification7
A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs7
SARS-CoV-2 ORF8 dimerization and binding mode analysis with class I MHC: computational approaches to identify COVID-19 inhibitors7
Less is more: relative rank is more informative than absolute abundance for compositional NGS data7
MiRNA–gene network embedding for predicting cancer driver genes7
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology7
A systematic evaluation of the computational tools for ligand-receptor-based cell–cell interaction inference7
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning7
Integration of single cell multiomics data by deep transfer hypergraph neural network7
The frontier of precision medicine: application of single-cell multi-omics in preimplantation genetic diagnosis7
Pregnancy-specific glycoproteins as potential drug targets for female lung adenocarcinoma patients7
Single-cell sequencing: expansion, integration and translation7
Advancements in genetic techniques and functional genomics for enhancing crop traits and agricultural sustainability6
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
An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis6
High-level RNA editing diversifies the coleoid cephalopod brain proteome6
Multi-omics therapeutic perspective on ACVR1 gene: from genetic alterations to potential targeting6
A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes5
Promoter–motif extraction from co-regulated genes and their relevance to co-expression usingE. colias a model5
Integrating single-cell RNA sequencing data to genome-wide association analysis data identifies significant cell types in influenza A virus infection and COVID-195
Identifying magnetosome-associated genes in the extended CtrA regulon inMagnetospirillum magneticumAMB-1 using a combinational approach5
Short-homology-mediated PCR-based method for gene introduction in the fission yeast Schizosaccharomyces pombe5
A comprehensive protein design protocol to identify resistance mutations and signatures of adaptation in pathogens5
Emerging trends in functional genomics in Spiralia5
From bench to bedside: potential of translational research in COVID-19 and beyond5
Targeting novel sites in DNA gyrase for development of anti-microbials5
RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features4
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information4
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants4
Multiomics technologies: role in disease biomarker discoveries and therapeutics4
Discoveries by the genome profiling, symbolic powers of non-next generation sequencing methods4
A survey of biclustering and clustering methods in clustering different types of single-cell RNA sequencing data4
pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R4
Comparison of scRNA-seq data analysis method combinations4
miRNome-transcriptome analysis unveils the key regulatory pathways involved in the tumorigenesis of tongue squamous cell carcinoma4
Molecular insights on the origin and development of waxy genotypes in major crop plants4
Cell type and gene regulatory network approaches in the evolution of spiralian biomineralisation4
Digital PCR and its applications in noninvasive prenatal testing4
Detecting early-warning signals for influenza by dysregulated dynamic network biomarkers4
Subtyping and grading of lower-grade gliomas using integrated feature selection and support vector machine3
Widespread transcriptomic alterations of transient receptor potential channel genes in cancer3
SAMP: Identifying antimicrobial peptides by an ensemble learning model based on proportionalized split amino acid composition3
Multifactorial feature extraction and site prognosis model for protein methylation data3
Correction to: STAT3-dependent long non-coding RNA Lncenc1 contributes to mouse ES cells pluripotency via stabilizing Klf4 mRNA3
Using artificial intelligence and statistics for managing peritoneal metastases from gastrointestinal cancers3
Significance of understanding the genomics of host–pathogen interaction in limiting antibiotic resistance development: lessons from COVID-19 pandemic3
Molecular language models: RNNs or transformer?3
Advancing disease genomics beyond COVID-19 and reducing health disparities: what does the future hold for Africa?3
Computational approaches for direct cell reprogramming: from the bulk omics era to the single cell era3
iEnhancer-DLRA: identification of enhancers and their strengths by a self-attention fusion strategy for local and global features3
Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward3
SCMcluster: a high-precision cell clustering algorithm integrating marker gene set with single-cell RNA sequencing data3
An overview of key online resources for human genomics: a powerful and open toolbox for in silico research3
Single-cell multi-omics sequencing and its application in tumor heterogeneity3
Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories3
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