BMC Bioinformatics

Papers
(The TQCC of BMC Bioinformatics is 7. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
CellProfiler 4: improvements in speed, utility and usability652
MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads308
PnB Designer: a web application to design prime and base editor guide RNAs for animals and plants262
PACVr: plastome assembly coverage visualization in R224
So you think you can PLS-DA?176
Statistical power for cluster analysis113
ATLAS: a Snakemake workflow for assembly, annotation, and genomic binning of metagenome sequence data98
TSEBRA: transcript selector for BRAKER97
DPDDI: a deep predictor for drug-drug interactions90
Prediction of heart disease and classifiers’ sensitivity analysis87
Prediction of liquid–liquid phase separating proteins using machine learning85
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction84
ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes80
Graph-based prediction of Protein-protein interactions with attributed signed graph embedding77
Propedia: a database for protein–peptide identification based on a hybrid clustering algorithm74
multiGSEA: a GSEA-based pathway enrichment analysis for multi-omics data69
Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models69
COPLA, a taxonomic classifier of plasmids66
Conditional permutation importance revisited64
DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules61
PyClone-VI: scalable inference of clonal population structures using whole genome data59
Testing the advantages and disadvantages of short- and long- read eukaryotic metagenomics using simulated reads57
MicrobeAnnotator: a user-friendly, comprehensive functional annotation pipeline for microbial genomes57
Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets55
To denoise or to cluster, that is not the question: optimizing pipelines for COI metabarcoding and metaphylogeography54
Broad-coverage biomedical relation extraction with SemRep54
Amino acid encoding for deep learning applications54
GPU accelerated adaptive banded event alignment for rapid comparative nanopore signal analysis54
A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network50
A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations50
Web-based LinRegPCR: application for the visualization and analysis of (RT)-qPCR amplification and melting data50
NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis49
Robust principal component analysis for accurate outlier sample detection in RNA-Seq data49
Simulating ComBat: how batch correction can lead to the systematic introduction of false positive results in DNA methylation microarray studies48
Correlation AnalyzeR: functional predictions from gene co-expression correlations48
MiBiOmics: an interactive web application for multi-omics data exploration and integration48
CIPR: a web-based R/shiny app and R package to annotate cell clusters in single cell RNA sequencing experiments47
VADR: validation and annotation of virus sequence submissions to GenBank47
CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images47
Selecting single cell clustering parameter values using subsampling-based robustness metrics47
CosinorPy: a python package for cosinor-based rhythmometry45
Comparison of smartphone-based retinal imaging systems for diabetic retinopathy detection using deep learning44
Keras R-CNN: library for cell detection in biological images using deep neural networks44
SAveRUNNER: an R-based tool for drug repurposing42
Hypergraph models of biological networks to identify genes critical to pathogenic viral response42
Application of network link prediction in drug discovery42
NASQAR: a web-based platform for high-throughput sequencing data analysis and visualization41
SHAMAN: a user-friendly website for metataxonomic analysis from raw reads to statistical analysis41
SAPPHIRE: a neural network based classifier for σ70 promoter prediction in Pseudomonas40
Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides40
Evaluation of a decided sample size in machine learning applications38
ECCsplorer: a pipeline to detect extrachromosomal circular DNA (eccDNA) from next-generation sequencing data38
Deconvolution of bulk blood eQTL effects into immune cell subpopulations38
Consensus clustering applied to multi-omics disease subtyping38
Deep learning detection of informative features in tau PET for Alzheimer’s disease classification36
In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform36
BugSeq: a highly accurate cloud platform for long-read metagenomic analyses36
Comparison study of differential abundance testing methods using two large Parkinson disease gut microbiome datasets derived from 16S amplicon sequencing36
DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks36
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier35
A novel essential protein identification method based on PPI networks and gene expression data35
Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches35
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost35
IP4M: an integrated platform for mass spectrometry-based metabolomics data mining34
SQMtools: automated processing and visual analysis of ’omics data with R and anvi’o34
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification33
Contrastive self-supervised clustering of scRNA-seq data33
Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions33
Convolutional neural network for automated mass segmentation in mammography33
Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma33
Optimal dimensionality selection for independent component analysis of transcriptomic data32
A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method32
Overcoming uncollapsed haplotypes in long-read assemblies of non-model organisms32
DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM32
BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network32
Y-LineageTracker: a high-throughput analysis framework for Y-chromosomal next-generation sequencing data31
High quality genome assemblies of Mycoplasma bovis using a taxon-specific Bonito basecaller for MinION and Flongle long-read nanopore sequencing31
High expression of cuproptosis-related SLC31A1 gene in relation to unfavorable outcome and deregulated immune cell infiltration in breast cancer: an analysis based on public databases30
ICEKAT: an interactive online tool for calculating initial rates from continuous enzyme kinetic traces30
Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods29
PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets29
LongStitch: high-quality genome assembly correction and scaffolding using long reads29
SWnet: a deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures29
HAVoC, a bioinformatic pipeline for reference-based consensus assembly and lineage assignment for SARS-CoV-2 sequences29
A base measure of precision for protein stability predictors: structural sensitivity28
A new method for exploring gene–gene and gene–environment interactions in GWAS with tree ensemble methods and SHAP values28
Capsule-LPI: a LncRNA–protein interaction predicting tool based on a capsule network28
A pipeline for RNA-seq based eQTL analysis with automated quality control procedures27
TMbed: transmembrane proteins predicted through language model embeddings27
Single-cell classification using graph convolutional networks27
Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets26
A rank-based marker selection method for high throughput scRNA-seq data26
ARTDeco: automatic readthrough transcription detection26
HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis26
CircPrimer 2.0: a software for annotating circRNAs and predicting translation potential of circRNAs26
DeepDist: real-value inter-residue distance prediction with deep residual convolutional network26
Spliceator: multi-species splice site prediction using convolutional neural networks26
Machine learning models predicting multidrug resistant urinary tract infections using “DsaaS”26
ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community26
Evaluation of variant calling tools for large plant genome re-sequencing26
Popularity and performance of bioinformatics software: the case of gene set analysis25
MitoTox: a comprehensive mitochondrial toxicity database25
Isabl Platform, a digital biobank for processing multimodal patient data25
Deep learning based DNA:RNA triplex forming potential prediction25
SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks25
Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulator24
WALTER: an easy way to online evaluate telomere lengths from terminal restriction fragment analysis24
CNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks23
Comparison of seven in silico tools for evaluating of daphnia and fish acute toxicity: case study on Chinese Priority Controlled Chemicals and new chemicals23
Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning23
Review of medical image recognition technologies to detect melanomas using neural networks23
Dysbiosis of the gut microbiome is a risk factor for osteoarthritis in older female adults: a case control study23
Hierarchical shared transfer learning for biomedical named entity recognition23
AttentionDDI: Siamese attention-based deep learning method for drug–drug interaction predictions23
NEDD: a network embedding based method for predicting drug-disease associations23
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders23
Performance of Web tools for predicting changes in protein stability caused by mutations22
CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning22
TANTIGEN 2.0: a knowledge base of tumor T cell antigens and epitopes22
Automated classification of protein subcellular localization in immunohistochemistry images to reveal biomarkers in colon cancer22
Molecular docking analysis reveals the functional inhibitory effect of Genistein and Quercetin on TMPRSS2: SARS-COV-2 cell entry facilitator spike protein22
Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model22
A neural network-based method for polypharmacy side effects prediction22
Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism22
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT22
A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs22
Drug-target interaction prediction using semi-bipartite graph model and deep learning22
Leveraging TCGA gene expression data to build predictive models for cancer drug response22
A numerical approach for detecting switch-like bistability in mass action chemical reaction networks with conservation laws22
The prognostic value of an autophagy-related lncRNA signature in hepatocellular carcinoma22
Asc-Seurat: analytical single-cell Seurat-based web application22
ADEPT: a domain independent sequence alignment strategy for gpu architectures21
PyIR: a scalable wrapper for processing billions of immunoglobulin and T cell receptor sequences using IgBLAST21
BEAVR: a browser-based tool for the exploration and visualization of RNA-seq data21
Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes21
AdmixPipe: population analyses in Admixture for non-model organisms21
GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data21
In silico comparative study of SARS-CoV-2 proteins and antigenic proteins in BCG, OPV, MMR and other vaccines: evidence of a possible putative protective effect21
LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting21
ATAV: a comprehensive platform for population-scale genomic analyses21
MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model21
Biomedical relation extraction via knowledge-enhanced reading comprehension21
CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures20
Identifying the sequence specificities of circRNA-binding proteins based on a capsule network architecture20
Modeling drug mechanism of action with large scale gene-expression profiles using GPAR, an artificial intelligence platform20
Improving biomedical named entity recognition with syntactic information20
Deep active learning for classifying cancer pathology reports20
Simulation study and comparative evaluation of viral contiguous sequence identification tools20
m5CPred-SVM: a novel method for predicting m5C sites of RNA20
Design of lung nodules segmentation and recognition algorithm based on deep learning20
Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota20
StrongestPath: a Cytoscape application for protein–protein interaction analysis20
OVarFlow: a resource optimized GATK 4 based Open source Variant calling workFlow20
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package20
ANDDigest: a new web-based module of ANDSystem for the search of knowledge in the scientific literature20
Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan20
Matrix factorization with neural network for predicting circRNA-RBP interactions20
SequelTools: a suite of tools for working with PacBio Sequel raw sequence data20
An optimal variant to gene distance window derived from an empirical definition of cis and trans protein QTLs20
Clinlabomics: leveraging clinical laboratory data by data mining strategies20
Data-based RNA-seq simulations by binomial thinning19
ElasticBLAST: accelerating sequence search via cloud computing19
EMU: reconfigurable graphical user interfaces for Micro-Manager19
A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path19
scTyper: a comprehensive pipeline for the cell typing analysis of single-cell RNA-seq data19
Distance correlation application to gene co-expression network analysis19
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data19
Comprehensive host-pathogen protein-protein interaction network analysis19
CytoTree: an R/Bioconductor package for analysis and visualization of flow and mass cytometry data19
SpectralTAD: an R package for defining a hierarchy of topologically associated domains using spectral clustering19
External features enriched model for biomedical question answering18
Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model18
Extending rnaSPAdes functionality for hybrid transcriptome assembly18
DeepNetBim: deep learning model for predicting HLA-epitope interactions based on network analysis by harnessing binding and immunogenicity information18
Combining sequence and network information to enhance protein–protein interaction prediction18
Establishing a consensus for the hallmarks of cancer based on gene ontology and pathway annotations18
“METAGENOTE: a simplified web platform for metadata annotation of genomic samples and streamlined submission to NCBI’s sequence read archive”18
CoolBox: a flexible toolkit for visual analysis of genomics data18
Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction18
ideal: an R/Bioconductor package for interactive differential expression analysis18
Biological interpretation of deep neural network for phenotype prediction based on gene expression18
Current trend and development in bioinformatics research18
Prediction of unconventional protein secretion by exosomes18
Flora Capture: a citizen science application for collecting structured plant observations18
Toward a more holistic method of genome assembly assessment18
gGATLDA: lncRNA-disease association prediction based on graph-level graph attention network18
Root Digger: a root placement program for phylogenetic trees17
EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA–protein interaction prediction17
PCirc: random forest-based plant circRNA identification software17
An improved clear cell renal cell carcinoma stage prediction model based on gene sets17
CAGECAT: The CompArative GEne Cluster Analysis Toolbox for rapid search and visualisation of homologous gene clusters17
Predicting functions of maize proteins using graph convolutional network17
In silico design of a multi-epitope vaccine against HPV16/1817
In silico design of recombinant multi-epitope vaccine against influenza A virus17
Esmraldi: efficient methods for the fusion of mass spectrometry and magnetic resonance images17
Machine learning-based prediction of survival prognosis in cervical cancer17
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method17
GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification17
GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm17
Sfcnn: a novel scoring function based on 3D convolutional neural network for accurate and stable protein–ligand affinity prediction17
Computationally identifying hot spots in protein-DNA binding interfaces using an ensemble approach17
Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features17
Negative binomial additive model for RNA-Seq data analysis17
ORFik: a comprehensive R toolkit for the analysis of translation17
Comparative evaluation of full-length isoform quantification from RNA-Seq17
The challenges of explainable AI in biomedical data science17
A data management infrastructure for the integration of imaging and omics data in life sciences17
Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques17
DeepSelectNet: deep neural network based selective sequencing for oxford nanopore sequencing16
EDLm6APred: ensemble deep learning approach for mRNA m6A site prediction16
Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks16
FINDER: an automated software package to annotate eukaryotic genes from RNA-Seq data and associated protein sequences16
MEPHAS: an interactive graphical user interface for medical and pharmaceutical statistical analysis with R and Shiny16
MRI-based brain tumor segmentation using FPGA-accelerated neural network16
Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network16
DeeplyEssential: a deep neural network for predicting essential genes in microbes16
The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data16
Exploring the dynamics and interplay of human papillomavirus and cervical tumorigenesis by integrating biological data into a mathematical model16
DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding16
DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms16
Combined embedding model for MiRNA-disease association prediction16
Multi-dimensional data integration algorithm based on random walk with restart16
Fast activation maximization for molecular sequence design16
FEGS: a novel feature extraction model for protein sequences and its applications16
The MOBSTER R package for tumour subclonal deconvolution from bulk DNA whole-genome sequencing data16
geneHapR: an R package for gene haplotypic statistics and visualization16
Chromatin 3D structure reconstruction with consideration of adjacency relationship among genomic loci16
NormiRazor: tool applying GPU-accelerated computing for determination of internal references in microRNA transcription studies16
Prediction of lung cancer using gene expression and deep learning with KL divergence gene selection16
Identification of CD8+ T cell epitopes through proteasome cleavage site predictions16
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice16
A multitask transfer learning framework for the prediction of virus-human protein–protein interactions16
Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks16
R.ROSETTA: an interpretable machine learning framework15
Using optimal control to understand complex metabolic pathways15
Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks15
Concatenation of paired-end reads improves taxonomic classification of amplicons for profiling microbial communities15
GenAPI: a tool for gene absence-presence identification in fragmented bacterial genome sequences15
RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine15
Prediction of hot spots in protein–DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting15
A novel method for drug-target interaction prediction based on graph transformers model15
DRPnet: automated particle picking in cryo-electron micrographs using deep regression15
Prediction of enhancer–promoter interactions using the cross-cell type information and domain adversarial neural network15
BioRel: towards large-scale biomedical relation extraction15
Incorporating support vector machine with sequential minimal optimization to identify anticancer peptides15
DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization15
Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data15
CoSTA: unsupervised convolutional neural network learning for spatial transcriptomics analysis15
DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning15
nf-core/circrna: a portable workflow for the quantification, miRNA target prediction and differential expression analysis of circular RNAs15
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