Briefings in Functional Genomics

Papers
(The TQCC of Briefings in Functional Genomics is 5. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Pretraining model for biological sequence data40
Environmental community transcriptomics: strategies and struggles34
Short-homology-mediated PCR-based method for gene introduction in the fission yeast Schizosaccharomyces pombe34
Systematic analysis and characterization of long non-coding RNA genes in inflammatory bowel disease33
Targeting novel sites in DNA gyrase for development of anti-microbials27
Emerging trends in functional genomics in Spiralia26
AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data26
Computational drug repurposing for viral infectious diseases: a case study on monkeypox22
ASACO: Automatic and Serial Analysis of CO-expression to discover gene modifiers with potential use in drug repurposing21
Integrating single-cell RNA sequencing data to genome-wide association analysis data identifies significant cell types in influenza A virus infection and COVID-1920
Single-cell transcriptomics refuels the exploration of spiralian biology17
Role of gut-microbiota in disease severity and clinical outcomes17
Emerging questions on the mechanisms and dynamics of 3D genome evolution in spiralians16
Crosstalk between genomic variants and DNA methylation in FLT3 mutant acute myeloid leukemia14
Experimental and computational methods for studying the dynamics of RNA–RNA interactions in SARS-COV2 genomes14
A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data14
Functional genomics in Spiralia12
Sesame Genomic Web Resource (SesameGWR): a well-annotated data resource for transcriptomic signatures of abiotic and biotic stress responses in sesame (Sesamum indicum L.)12
Interpretation of SNP combination effects on schizophrenia etiology based on stepwise deep learning with multi-precision data12
Prognostic signature analysis and survival prediction of esophageal cancer based on N6-methyladenosine associated lncRNAs11
Gene regulatory network inference based on novel ensemble method11
Application of computational algorithms for single-cell RNA-seq and ATAC-seq in neurodegenerative diseases11
The regulatory role of non-coding RNAs and their interactions with phytochemicals in neurodegenerative diseases: a systematic review11
A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes11
Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis10
Review of multi-omics data resources and integrative analysis for human brain disorders10
Identifying magnetosome-associated genes in the extended CtrA regulon inMagnetospirillum magneticumAMB-1 using a combinational approach9
Tau–FG-nucleoporin98 interaction and impaired nucleocytoplasmic transport in Alzheimer’s disease9
Identifying preeclampsia-associated genes using a control theory method9
From bench to bedside: potential of translational research in COVID-19 and beyond9
The role of the X chromosome in infectious diseases9
A systematic analyses of different bioinformatics pipelines for genomic data and its impact on deep learning models for chromatin loop prediction8
A comprehensive protein design protocol to identify resistance mutations and signatures of adaptation in pathogens8
Respiratory tract infection: an unfamiliar risk factor in high-altitude pulmonary edema8
Integrating multi-omics data to analyze the potential pathogenic mechanism of CTSH gene involved in type 1 diabetes in the exocrine pancreas8
Corrigendum to: Spec-seq: determining protein-DNA-binding specificity by sequencing7
Single-cell RNA-seq data clustering by deep information fusion7
Microscale marvels: unveiling the macroscopic significance of micropeptides in human health7
Precision omics data integration and analysis with interoperable ontologies and their application for COVID-19 research7
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning7
Genomics in Clinical trials for Breast Cancer7
A systematic view of computational methods for identifying driver genes based on somatic mutation data7
Multi-omics approaches to therapeutic target identification7
Identification of deleterious variants of uncertain significance in BRCA2 BRC4 repeat through molecular dynamics simulations6
Recent insights into crosstalk between genetic parasites and their host genome6
Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome6
Promoter–motif extraction from co-regulated genes and their relevance to co-expression usingE. colias a model5
DBPMod: a supervised learning model for computational recognition of DNA-binding proteins in model organisms5
Molecular insights on the origin and development of waxy genotypes in major crop plants5
Multi-omics studies in interpreting the evolving standard model for immune functions5
Loosening chromatin and dysregulated transcription: a perspective on cryptic transcription during mammalian aging5
Genetic variation mining of the Chinese mitten crab (Eriocheir sinensis) based on transcriptome data from public databases5
RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features5
DockingGA: enhancing targeted molecule generation using transformer neural network and genetic algorithm with docking simulation5
Simultaneous compression of multiple error-corrected short-read sets for faster data transmission and betterde novoassemblies5
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