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 2020-04-01 to 2024-04-01.)
ArticleCitations
CellProfiler 4: improvements in speed, utility and usability597
MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads274
PnB Designer: a web application to design prime and base editor guide RNAs for animals and plants254
PACVr: plastome assembly coverage visualization in R220
So you think you can PLS-DA?172
Statistical power for cluster analysis106
TSEBRA: transcript selector for BRAKER91
DPDDI: a deep predictor for drug-drug interactions89
ATLAS: a Snakemake workflow for assembly, annotation, and genomic binning of metagenome sequence data89
Prediction of heart disease and classifiers’ sensitivity analysis84
Prediction of liquid–liquid phase separating proteins using machine learning82
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction81
ChromoMap: an R package for interactive visualization of multi-omics data and annotation of chromosomes77
Graph-based prediction of Protein-protein interactions with attributed signed graph embedding74
Propedia: a database for protein–peptide identification based on a hybrid clustering algorithm69
multiGSEA: a GSEA-based pathway enrichment analysis for multi-omics data67
COPLA, a taxonomic classifier of plasmids65
Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models61
Conditional permutation importance revisited60
DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules59
PyClone-VI: scalable inference of clonal population structures using whole genome data58
MicrobeAnnotator: a user-friendly, comprehensive functional annotation pipeline for microbial genomes57
Testing the advantages and disadvantages of short- and long- read eukaryotic metagenomics using simulated reads56
Amino acid encoding for deep learning applications54
To denoise or to cluster, that is not the question: optimizing pipelines for COI metabarcoding and metaphylogeography53
Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets53
Broad-coverage biomedical relation extraction with SemRep52
GPU accelerated adaptive banded event alignment for rapid comparative nanopore signal analysis52
Web-based LinRegPCR: application for the visualization and analysis of (RT)-qPCR amplification and melting data49
A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network48
A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations47
Robust principal component analysis for accurate outlier sample detection in RNA-Seq data47
Simulating ComBat: how batch correction can lead to the systematic introduction of false positive results in DNA methylation microarray studies47
NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis46
CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images46
VADR: validation and annotation of virus sequence submissions to GenBank45
Selecting single cell clustering parameter values using subsampling-based robustness metrics45
Correlation AnalyzeR: functional predictions from gene co-expression correlations44
Keras R-CNN: library for cell detection in biological images using deep neural networks44
MiBiOmics: an interactive web application for multi-omics data exploration and integration44
Comparison of smartphone-based retinal imaging systems for diabetic retinopathy detection using deep learning44
DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction44
Application of network link prediction in drug discovery42
SAveRUNNER: an R-based tool for drug repurposing42
CosinorPy: a python package for cosinor-based rhythmometry42
CIPR: a web-based R/shiny app and R package to annotate cell clusters in single cell RNA sequencing experiments42
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
Hypergraph models of biological networks to identify genes critical to pathogenic viral response39
SAPPHIRE: a neural network based classifier for σ70 promoter prediction in Pseudomonas37
Deconvolution of bulk blood eQTL effects into immune cell subpopulations37
Consensus clustering applied to multi-omics disease subtyping36
In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform36
PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data36
Comparison study of differential abundance testing methods using two large Parkinson disease gut microbiome datasets derived from 16S amplicon sequencing36
GOMCL: a toolkit to cluster, evaluate, and extract non-redundant associations of Gene Ontology-based functions35
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost35
ECCsplorer: a pipeline to detect extrachromosomal circular DNA (eccDNA) from next-generation sequencing data35
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier34
BugSeq: a highly accurate cloud platform for long-read metagenomic analyses34
Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides34
Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches34
DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks34
Deep learning detection of informative features in tau PET for Alzheimer’s disease classification34
A novel essential protein identification method based on PPI networks and gene expression data34
IP4M: an integrated platform for mass spectrometry-based metabolomics data mining33
Convolutional neural network for automated mass segmentation in mammography33
Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions33
Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma32
Optimal dimensionality selection for independent component analysis of transcriptomic data32
Contrastive self-supervised clustering of scRNA-seq data32
Overcoming uncollapsed haplotypes in long-read assemblies of non-model organisms32
A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method32
High quality genome assemblies of Mycoplasma bovis using a taxon-specific Bonito basecaller for MinION and Flongle long-read nanopore sequencing31
DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM31
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification30
SQMtools: automated processing and visual analysis of ’omics data with R and anvi’o30
BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network30
Evaluation of a decided sample size in machine learning applications30
LongStitch: high-quality genome assembly correction and scaffolding using long reads29
Y-LineageTracker: a high-throughput analysis framework for Y-chromosomal next-generation sequencing data29
ICEKAT: an interactive online tool for calculating initial rates from continuous enzyme kinetic traces29
A new method for exploring gene–gene and gene–environment interactions in GWAS with tree ensemble methods and SHAP values28
2SigFinder: the combined use of small-scale and large-scale statistical testing for genomic island detection from a single genome28
PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets28
SWnet: a deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures28
TMbed: transmembrane proteins predicted through language model embeddings27
A pipeline for RNA-seq based eQTL analysis with automated quality control procedures27
A base measure of precision for protein stability predictors: structural sensitivity27
HAVoC, a bioinformatic pipeline for reference-based consensus assembly and lineage assignment for SARS-CoV-2 sequences27
Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods27
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 databases27
Capsule-LPI: a LncRNA–protein interaction predicting tool based on a capsule network26
Single-cell classification using graph convolutional networks26
A rank-based marker selection method for high throughput scRNA-seq data26
DeepDist: real-value inter-residue distance prediction with deep residual convolutional network26
Dual graph convolutional neural network for predicting chemical networks26
GiniClust3: a fast and memory-efficient tool for rare cell type identification26
OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images26
Machine learning models predicting multidrug resistant urinary tract infections using “DsaaS”25
ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community25
CircPrimer 2.0: a software for annotating circRNAs and predicting translation potential of circRNAs25
Evaluation of variant calling tools for large plant genome re-sequencing25
HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis25
Isabl Platform, a digital biobank for processing multimodal patient data25
Popularity and performance of bioinformatics software: the case of gene set analysis24
SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks24
Spliceator: multi-species splice site prediction using convolutional neural networks24
Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets23
AttentionDDI: Siamese attention-based deep learning method for drug–drug interaction predictions23
WALTER: an easy way to online evaluate telomere lengths from terminal restriction fragment analysis23
Deep learning based DNA:RNA triplex forming potential prediction23
Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulator23
Comparison of seven in silico tools for evaluating of daphnia and fish acute toxicity: case study on Chinese Priority Controlled Chemicals and new chemicals23
MitoTox: a comprehensive mitochondrial toxicity database23
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders23
Review of medical image recognition technologies to detect melanomas using neural networks23
NEDD: a network embedding based method for predicting drug-disease associations23
ARTDeco: automatic readthrough transcription detection23
Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism22
Hierarchical shared transfer learning for biomedical named entity recognition22
Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning22
A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs22
Leveraging TCGA gene expression data to build predictive models for cancer drug response22
Reconstruction of a gene regulatory network of the induced systemic resistance defense response in Arabidopsis using boolean networks22
Biomedical relation extraction via knowledge-enhanced reading comprehension21
A neural network-based method for polypharmacy side effects prediction21
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
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
Molecular docking analysis reveals the functional inhibitory effect of Genistein and Quercetin on TMPRSS2: SARS-COV-2 cell entry facilitator spike protein21
Drug-target interaction prediction using semi-bipartite graph model and deep learning21
Performance of Web tools for predicting changes in protein stability caused by mutations21
LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting21
TANTIGEN 2.0: a knowledge base of tumor T cell antigens and epitopes21
PyIR: a scalable wrapper for processing billions of immunoglobulin and T cell receptor sequences using IgBLAST21
Asc-Seurat: analytical single-cell Seurat-based web application21
Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model21
CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning21
A numerical approach for detecting switch-like bistability in mass action chemical reaction networks with conservation laws21
CNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks21
Dysbiosis of the gut microbiome is a risk factor for osteoarthritis in older female adults: a case control study21
ADEPT: a domain independent sequence alignment strategy for gpu architectures20
ATAV: a comprehensive platform for population-scale genomic analyses20
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
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT20
m5CPred-SVM: a novel method for predicting m5C sites of RNA20
Matrix factorization with neural network for predicting circRNA-RBP interactions20
The prognostic value of an autophagy-related lncRNA signature in hepatocellular carcinoma20
SpectralTAD: an R package for defining a hierarchy of topologically associated domains using spectral clustering19
CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures19
Improving biomedical named entity recognition with syntactic information19
Comprehensive host-pathogen protein-protein interaction network analysis19
Deep active learning for classifying cancer pathology reports19
A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path19
Simulation study and comparative evaluation of viral contiguous sequence identification tools19
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package19
Data-based RNA-seq simulations by binomial thinning19
Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota19
Automated classification of protein subcellular localization in immunohistochemistry images to reveal biomarkers in colon cancer19
SequelTools: a suite of tools for working with PacBio Sequel raw sequence data19
scTyper: a comprehensive pipeline for the cell typing analysis of single-cell RNA-seq data19
An optimal variant to gene distance window derived from an empirical definition of cis and trans protein QTLs19
ANDDigest: a new web-based module of ANDSystem for the search of knowledge in the scientific literature19
Modeling drug mechanism of action with large scale gene-expression profiles using GPAR, an artificial intelligence platform19
StrongestPath: a Cytoscape application for protein–protein interaction analysis19
GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data19
MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model19
External features enriched model for biomedical question answering18
“METAGENOTE: a simplified web platform for metadata annotation of genomic samples and streamlined submission to NCBI’s sequence read archive”18
Extending rnaSPAdes functionality for hybrid transcriptome assembly18
Toward a more holistic method of genome assembly assessment18
Current trend and development in bioinformatics research18
CoolBox: a flexible toolkit for visual analysis of genomics data18
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data18
CytoTree: an R/Bioconductor package for analysis and visualization of flow and mass cytometry data18
EMU: reconfigurable graphical user interfaces for Micro-Manager18
Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model18
Identifying the sequence specificities of circRNA-binding proteins based on a capsule network architecture18
ideal: an R/Bioconductor package for interactive differential expression analysis18
Combining sequence and network information to enhance protein–protein interaction prediction18
An improved clear cell renal cell carcinoma stage prediction model based on gene sets17
Flora Capture: a citizen science application for collecting structured plant observations17
Nanopore basecalling from a perspective of instance segmentation17
Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features17
Biological interpretation of deep neural network for phenotype prediction based on gene expression17
circRNAprofiler: an R-based computational framework for the downstream analysis of circular RNAs17
Prediction of unconventional protein secretion by exosomes17
Design of lung nodules segmentation and recognition algorithm based on deep learning17
Predicting functions of maize proteins using graph convolutional network17
OVarFlow: a resource optimized GATK 4 based Open source Variant calling workFlow17
DeepNetBim: deep learning model for predicting HLA-epitope interactions based on network analysis by harnessing binding and immunogenicity information17
PCirc: random forest-based plant circRNA identification software17
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
The challenges of explainable AI in biomedical data science17
Sfcnn: a novel scoring function based on 3D convolutional neural network for accurate and stable protein–ligand affinity prediction17
Esmraldi: efficient methods for the fusion of mass spectrometry and magnetic resonance images17
Clinlabomics: leveraging clinical laboratory data by data mining strategies17
Negative binomial additive model for RNA-Seq data analysis17
Chromatin 3D structure reconstruction with consideration of adjacency relationship among genomic loci16
A data management infrastructure for the integration of imaging and omics data in life sciences16
Root Digger: a root placement program for phylogenetic trees16
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice16
EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA–protein interaction prediction16
A multitask transfer learning framework for the prediction of virus-human protein–protein interactions16
GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification16
Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks16
Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction16
Combined embedding model for MiRNA-disease association prediction16
Fast activation maximization for molecular sequence design16
Establishing a consensus for the hallmarks of cancer based on gene ontology and pathway annotations16
DeeplyEssential: a deep neural network for predicting essential genes in microbes16
Exploring the dynamics and interplay of human papillomavirus and cervical tumorigenesis by integrating biological data into a mathematical model16
ElasticBLAST: accelerating sequence search via cloud computing16
FINDER: an automated software package to annotate eukaryotic genes from RNA-Seq data and associated protein sequences16
Identification of CD8+ T cell epitopes through proteasome cleavage site predictions16
Distance correlation application to gene co-expression network analysis16
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
Methylation data imputation performances under different representations and missingness patterns15
Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks15
Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data15
EDLm6APred: ensemble deep learning approach for mRNA m6A site prediction15
DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding15
Concatenation of paired-end reads improves taxonomic classification of amplicons for profiling microbial communities15
CoSTA: unsupervised convolutional neural network learning for spatial transcriptomics analysis15
MRI-based brain tumor segmentation using FPGA-accelerated neural network15
BioRel: towards large-scale biomedical relation extraction15
Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes15
BEAVR: a browser-based tool for the exploration and visualization of RNA-seq data15
Comparative evaluation of full-length isoform quantification from RNA-Seq15
TruNeo: an integrated pipeline improves personalized true tumor neoantigen identification15
DeepSelectNet: deep neural network based selective sequencing for oxford nanopore sequencing15
A novel method for drug-target interaction prediction based on graph transformers model15
Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks15
Prediction of enhancer–promoter interactions using the cross-cell type information and domain adversarial neural network15
Computationally identifying hot spots in protein-DNA binding interfaces using an ensemble approach15
Multi-dimensional data integration algorithm based on random walk with restart15
Graph embeddings on gene ontology annotations for protein–protein interaction prediction15
Synthetic repurposing of drugs against hypertension: a datamining method based on association rules and a novel discrete algorithm15
The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data15
GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm15
In silico design of recombinant multi-epitope vaccine against influenza A virus15
Using optimal control to understand complex metabolic pathways15
DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses15
DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning15
MEPHAS: an interactive graphical user interface for medical and pharmaceutical statistical analysis with R and Shiny15
GenAPI: a tool for gene absence-presence identification in fragmented bacterial genome sequences15
Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network15
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