Briefings in Functional Genomics

Papers
(The median citation count of Briefings in Functional Genomics is 4. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Experimental and computational methods for studying the dynamics of RNA–RNA interactions in SARS-COV2 genomes113
Role of gut-microbiota in disease severity and clinical outcomes62
Environmental community transcriptomics: strategies and struggles47
Single-cell transcriptomics refuels the exploration of spiralian biology43
Single-cell RNA-seq data clustering by deep information fusion34
Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome33
Genetic variation mining of the Chinese mitten crab (Eriocheir sinensis) based on transcriptome data from public databases31
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning30
Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines28
Network-medicine approach for the identification of genetic association of parathyroid adenoma with cardiovascular disease and type-2 diabetes27
Herbgenomics meets Papaveraceae: a promising -omics perspective on medicinal plant research25
A lossless reference-free sequence compression algorithm leveraging grammatical, statistical, and substitution rules25
Prediction of strand-specific and cell-type-specific G-quadruplexes based on high-resolution CUT&Tag data23
Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping22
Use of in silico approaches, synthesis and profiling of Pan-filovirus GP-1,2 preprotein specific antibodies19
Systematic benchmark of single-cell hashtag demultiplexing approaches reveals robust performance of a clustering-based method19
Mapping of long stretches of highly conserved sequences in over 6 million SARS-CoV-2 genomes19
Advances in integrating single-cell sequencing data to unravel the mechanism of ferroptosis in cancer18
Genomic islands and their role in fitness traits of two key sepsis-causing bacterial pathogens18
Predicting drug synergy using a network propagation inspired machine learning framework17
STAT3-dependent long non-coding RNA Lncenc1 contributes to mouse ES cells pluripotency via stabilizing Klf4 mRNA17
DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features16
Recent advances in differential expression analysis for single-cell RNA-seq and spatially resolved transcriptomic studies16
Interpretation of SNP combination effects on schizophrenia etiology based on stepwise deep learning with multi-precision data14
DeepPRMS: advanced deep learning model to predict protein arginine methylation sites14
amplysis: an R package for microbial composition and diversity analysis using 16S rRNA amplicon data13
Genetically supported mediators linking peripheral metabolism to cerebral ischemia: a multi-omics characterization of HMGCR, TLR4, and MMP9 in angina pectoris and stroke13
A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data13
Multi-omics studies in interpreting the evolving standard model for immune functions13
Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning12
Correction to: Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data12
Bioinformatics insights into plant genomic imprinting: approaches, challenges, and future perspectives11
A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs11
NTpred: a robust and precise machine learning framework for in silico identification of Tyrosine nitration sites in protein sequences11
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning11
RETRACTED: Integration of single cell multiomics data by deep transfer hypergraph neural network10
SARS-CoV-2 ORF8 dimerization and binding mode analysis with class I MHC: computational approaches to identify COVID-19 inhibitors10
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology10
Spiralian genomics and the evolution of animal genome architecture10
m6A RNA modification pathway: orchestrating fibrotic mechanisms across multiple organs10
Genomic insights into bacteriophages: a new frontier in AMR detection and phage therapy10
Unmeasured human transcription factor ChIP-seq data shape functional genomics and demand strategic prioritization10
The frontier of precision medicine: application of single-cell multi-omics in preimplantation genetic diagnosis9
Less is more: relative rank is more informative than absolute abundance for compositional NGS data9
Correction to: Omics-based deep learning approaches for lung cancer decision-making and therapeutics development8
High-level RNA editing diversifies the coleoid cephalopod brain proteome8
Identifying magnetosome-associated genes in the extended CtrA regulon inMagnetospirillum magneticumAMB-1 using a combinational approach8
Multi-omics therapeutic perspective on ACVR1 gene: from genetic alterations to potential targeting8
RETRACTED AND REPLACED: An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Mora8
Attention-based GCN integrates multi-omics data for breast cancer subtype classification and patient-specific gene marker identification8
DeepWalk-aware graph attention networks with CNN for circRNA–drug sensitivity association identification8
Pregnancy-specific glycoproteins as potential drug targets for female lung adenocarcinoma patients8
MiRNA–gene network embedding for predicting cancer driver genes8
From bench to bedside: potential of translational research in COVID-19 and beyond8
Advancements in genetic techniques and functional genomics for enhancing crop traits and agricultural sustainability8
Retraction and replacement of: An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of 7
Integrating single-cell RNA sequencing data to genome-wide association analysis data identifies significant cell types in influenza A virus infection and COVID-197
Targeting novel sites in DNA gyrase for development of anti-microbials7
Emerging trends in functional genomics in Spiralia7
A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes7
Retraction of: Integration of single cell multiomics data by deep transfer hypergraph neural network7
Short-homology-mediated PCR-based method for gene introduction in the fission yeast Schizosaccharomyces pombe7
Promoter–motif extraction from co-regulated genes and their relevance to co-expression usingE. colias a model7
Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories6
RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features6
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information6
Cell type and gene regulatory network approaches in the evolution of spiralian biomineralisation6
pyRforest : a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R6
Molecular insights on the origin and development of waxy genotypes in major crop plants6
Comparison of scRNA-seq data analysis method combinations6
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants6
A survey of biclustering and clustering methods in clustering different types of single-cell RNA sequencing data6
Digital PCR and its applications in noninvasive prenatal testing6
Correction to: STAT3-dependent long non-coding RNA Lncenc1 contributes to mouse ES cells pluripotency via stabilizing Klf4 mRNA5
Subtyping and grading of lower-grade gliomas using integrated feature selection and support vector machine5
Widespread transcriptomic alterations of transient receptor potential channel genes in cancer5
An overview of key online resources for human genomics: a powerful and open toolbox for in silico research5
Unraveling risk factors and transcriptomic signatures in liver cancer progression and mortality through machine learning and bioinformatics5
Detecting early-warning signals for influenza by dysregulated dynamic network biomarkers5
Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward5
Single-cell multi-omics sequencing and its application in tumor heterogeneity5
Molecular language models: RNNs or transformer?5
Significance of understanding the genomics of host–pathogen interaction in limiting antibiotic resistance development: lessons from COVID-19 pandemic5
Multifactorial feature extraction and site prognosis model for protein methylation data5
Discoveries by the genome profiling, symbolic powers of non-next generation sequencing methods5
miRNome-transcriptome analysis unveils the key regulatory pathways involved in the tumorigenesis of tongue squamous cell carcinoma5
Using artificial intelligence and statistics for managing peritoneal metastases from gastrointestinal cancers5
SAMP: Identifying antimicrobial peptides by an ensemble learning model based on proportionalized split amino acid composition5
iEnhancer-DLRA: identification of enhancers and their strengths by a self-attention fusion strategy for local and global features5
SCMcluster: a high-precision cell clustering algorithm integrating marker gene set with single-cell RNA sequencing data5
Gene regulatory network inference based on novel ensemble method4
Crosstalk between genomic variants and DNA methylation in FLT3 mutant acute myeloid leukemia4
Application of computational algorithms for single-cell RNA-seq and ATAC-seq in neurodegenerative diseases4
Genomics in Clinical trials for Breast Cancer4
Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease4
AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data4
Advancing disease genomics beyond COVID-19 and reducing health disparities: what does the future hold for Africa?4
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