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 2020-04-01 to 2024-04-01.)
ArticleCitations
Prediction of bio-sequence modifications and the associations with diseases64
Sequence representation approaches for sequence-based protein prediction tasks that use deep learning34
Critical evaluation of web-based DNA N6-methyladenine site prediction tools28
Potential therapeutic targets of Klebsiella pneumoniae: a multi-omics review perspective27
Challenges in the diagnosis and discovery of rare genetic disorders using contemporary sequencing technologies21
The functional impact of nuclear reorganization in cellular senescence21
Review of unsupervised pretraining strategies for molecules representation20
A comprehensive review for gut microbes: technologies, interventions, metabolites and diseases19
Review of multi-omics data resources and integrative analysis for human brain disorders18
BioDKG–DDI: predicting drug–drug interactions based on drug knowledge graph fusing biochemical information18
Pretraining model for biological sequence data16
The impact of epitranscriptomic marks on post-transcriptional regulation in plants16
Functional genomics of inflamm-aging and immunosenescence15
Revisiting hematopoiesis: applications of the bulk and single-cell transcriptomics dissecting transcriptional heterogeneity in hematopoietic stem cells15
Infectious disease mRNA vaccines and a review on epitope prediction for vaccine design15
Network-based methods for gene function prediction13
Current status and future prospects of drug–target interaction prediction13
A systematic review of computational methods for predicting long noncoding RNAs13
‘Green revolution’ dwarf genesd1of rice has gigantic impact12
An update: mechanisms of microRNA in primary open-angle glaucoma11
Strandedness during cDNA synthesis, the stranded parameter in htseq-count and analysis of RNA-Seq data11
The non-coding epitranscriptome in cancer11
A survey on protein–DNA-binding sites in computational biology10
Advancing from protein interactomes and gene co-expression networks towards multi-omics-based composite networks: approaches for predicting and extracting biological knowledge10
Non-CpG methylation—a key epigenetic modification in cancer10
Machine learning approaches for predicting biomolecule–disease associations10
Omics-based deep learning approaches for lung cancer decision-making and therapeutics development9
Noncoding RNAs: modulators and modulatable players during infection-induced stress response9
Application of omics research in seaweeds with a focus on red seaweeds9
Single-cell transcriptomics allows novel insights into aging and circadian processes9
Single-cell RNA sequencing analyses: interference by the genes that encode the B-cell and T-cell receptors8
A systematic evaluation of the computational tools for ligand-receptor-based cell–cell interaction inference8
Multifactorial feature extraction and site prognosis model for protein methylation data8
Precision omics data integration and analysis with interoperable ontologies and their application for COVID-19 research8
Seven autophagy-related lncRNAs are associated with the tumor immune microenvironment in predicting survival risk of nonsmall cell lung cancer8
SARS-CoV-2 ORF8 dimerization and binding mode analysis with class I MHC: computational approaches to identify COVID-19 inhibitors7
Computational resources for identification of cancer biomarkers from omics data7
Single-cell sequencing: expansion, integration and translation7
Genome-wide screens in yeast models towards understanding chronological lifespan regulation7
Digital PCR and its applications in noninvasive prenatal testing7
The role of the X chromosome in infectious diseases6
PGRNIG: novel parallel gene regulatory network identification algorithm based on GPU6
Emerging roles of RNA modifications in genome integrity6
Multiomics technologies: role in disease biomarker discoveries and therapeutics6
Loosening chromatin and dysregulated transcription: a perspective on cryptic transcription during mammalian aging6
Flipping the script: viral capitalization of RNA modifications6
Structure, function and therapeutic implications of OB-fold proteins: A lesson from past to present6
Integrative analyses of transcriptome data reveal the mechanisms of post-transcriptional regulation5
A comprehensive protein design protocol to identify resistance mutations and signatures of adaptation in pathogens5
Deciphering RNA modifications at base resolution: from chemistry to biology5
Distinct evolutionary pathways for the synthesis and function of tRNA modifications5
Targeting novel sites in DNA gyrase for development of anti-microbials5
Adaptive deep propagation graph neural network for predicting miRNA–disease associations5
Tau–FG-nucleoporin98 interaction and impaired nucleocytoplasmic transport in Alzheimer’s disease5
Quantifying transcriptome diversity: a review4
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
Identification of deleterious variants of uncertain significance in BRCA2 BRC4 repeat through molecular dynamics simulations4
Deep learning tools are top performers in long non-coding RNA prediction4
From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing4
Bioinformatics tools used for whole-genome sequencing analysis of Neisseria gonorrhoeae: a literature review4
Comprehensive omics studies of p53 mutants in human cancer4
iEnhancer-DLRA: identification of enhancers and their strengths by a self-attention fusion strategy for local and global features4
Functional long non-coding and circular RNAs in zebrafish4
Subtyping and grading of lower-grade gliomas using integrated feature selection and support vector machine4
A systematic view of computational methods for identifying driver genes based on somatic mutation data4
Integrative genomics important to understand host–pathogen interactions3
Spiralian genomics and the evolution of animal genome architecture3
Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis3
MiRNA–gene network embedding for predicting cancer driver genes3
An improved hierarchical variational autoencoder for cell–cell communication estimation using single-cell RNA-seq data3
Accurate prediction and key protein sequence feature identification of cyclins3
DNA methylation and histone modifications are essential for regulation of stem cell formation and differentiation in zebrafish development3
Attention-based GCN integrates multi-omics data for breast cancer subtype classification and patient-specific gene marker identification3
Integrating functional scoring and regulatory data to predict the effect of non-coding SNPs in a complex neurological disease3
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants3
Identifying preeclampsia-associated genes using a control theory method3
Expanding interactome analyses beyond model eukaryotes3
miRNome-transcriptome analysis unveils the key regulatory pathways involved in the tumorigenesis of tongue squamous cell carcinoma2
Investigating the molecular guts of endoderm formation using zebrafish2
Molecular insights on the origin and development of waxy genotypes in major crop plants2
Functional genomics in Spiralia2
Single-cell multi-omics sequencing and its application in tumor heterogeneity2
Infection outcome needs two to tango: human host and the pathogen2
Identification of long noncoding RNAs with machine learning methods: a review2
Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines2
Role of gut-microbiota in disease severity and clinical outcomes2
Single-cell transcriptomics refuels the exploration of spiralian biology2
Biophysical and modeling-based approach for the identification of inhibitors against DOHH fromLeishmania donovani2
Stratification of ovarian cancer patients from the prospect of drug target-related transcription factor protein activity: the prognostic and genomic landscape analyses2
THGNCDA: circRNA–disease association prediction based on triple heterogeneous graph network2
Evaluation of tools for taxonomic classification of viruses2
DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information2
The regulatory role of non-coding RNAs and their interactions with phytochemicals in neurodegenerative diseases: a systematic review2
Comparative studies on the high-performance compression of SARS-CoV-2 genome collections2
Depositing annotated sequences in GenBank: there needs to be a better way2
SCMcluster: a high-precision cell clustering algorithm integrating marker gene set with single-cell RNA sequencing data2
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