Briefings in Functional Genomics

Papers
(The TQCC of Briefings in Functional Genomics is 8. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Experimental and computational methods for studying the dynamics of RNA–RNA interactions in SARS-COV2 genomes97
Role of gut-microbiota in disease severity and clinical outcomes74
Single-cell transcriptomics refuels the exploration of spiralian biology60
Single-cell RNA-seq data clustering by deep information fusion40
Environmental community transcriptomics: strategies and struggles40
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning29
Genetic variation mining of the Chinese mitten crab (Eriocheir sinensis) based on transcriptome data from public databases28
Comprehensive omics studies of p53 mutants in human cancer28
Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome27
A lossless reference-free sequence compression algorithm leveraging grammatical, statistical, and substitution rules25
Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines25
Herbgenomics meets Papaveraceae: a promising -omics perspective on medicinal plant research24
Network-medicine approach for the identification of genetic association of parathyroid adenoma with cardiovascular disease and type-2 diabetes23
Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping23
Prediction of strand-specific and cell-type-specific G-quadruplexes based on high-resolution CUT&Tag data21
Use of in silico approaches, synthesis and profiling of Pan-filovirus GP-1,2 preprotein specific antibodies20
Advances in integrating single-cell sequencing data to unravel the mechanism of ferroptosis in cancer18
Systematic benchmark of single-cell hashtag demultiplexing approaches reveals robust performance of a clustering-based method17
Mapping of long stretches of highly conserved sequences in over 6 million SARS-CoV-2 genomes17
STAT3-dependent long non-coding RNA Lncenc1 contributes to mouse ES cells pluripotency via stabilizing Klf4 mRNA16
Genomic islands and their role in fitness traits of two key sepsis-causing bacterial pathogens16
Recent advances in differential expression analysis for single-cell RNA-seq and spatially resolved transcriptomic studies16
DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features16
Predicting drug synergy using a network propagation inspired machine learning framework15
DeepPRMS: advanced deep learning model to predict protein arginine methylation sites15
Interpretation of SNP combination effects on schizophrenia etiology based on stepwise deep learning with multi-precision data15
A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data14
Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning13
Multi-omics studies in interpreting the evolving standard model for immune functions12
Correction to: Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data12
amplysis: an R package for microbial composition and diversity analysis using 16S rRNA amplicon data12
Bioinformatics insights into plant genomic imprinting: approaches, challenges, and future perspectives12
Single-cell sequencing: expansion, integration and translation11
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
m6A RNA modification pathway: orchestrating fibrotic mechanisms across multiple organs10
A systematic evaluation of the computational tools for ligand-receptor-based cell–cell interaction inference10
RETRACTED: Integration of single cell multiomics data by deep transfer hypergraph neural network10
Unmeasured human transcription factor ChIP-seq data shape functional genomics and demand strategic prioritization10
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning10
Genomic insights into bacteriophages: a new frontier in AMR detection and phage therapy10
Spiralian genomics and the evolution of animal genome architecture10
SARS-CoV-2 ORF8 dimerization and binding mode analysis with class I MHC: computational approaches to identify COVID-19 inhibitors10
Less is more: relative rank is more informative than absolute abundance for compositional NGS data9
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology9
Correction to: Omics-based deep learning approaches for lung cancer decision-making and therapeutics development8
The frontier of precision medicine: application of single-cell multi-omics in preimplantation genetic diagnosis8
High-level RNA editing diversifies the coleoid cephalopod brain proteome8
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
Advancements in genetic techniques and functional genomics for enhancing crop traits and agricultural sustainability8
A survey on protein–DNA-binding sites in computational biology8
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
MiRNA–gene network embedding for predicting cancer driver genes8
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