Bioinformatics

Papers
(The median citation count of Bioinformatics is 6. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
The 2025 ISCB Accomplishments by a Senior Scientist Award—Dr Amos Bairoch1802
DivPro: diverse protein sequence design with direct structure recovery guidance1404
RVINN: a flexible modeling for inferring dynamic transcriptional and post-transcriptional regulation using physics-informed neural networks871
LPTD: a novel linear programming-based topology determination method for cryo-EM maps796
Integrated Genome Browser App Store768
CondiS web app: imputation of censored lifetimes for machine learning-based survival analysis477
deTELpy: Python package for high-throughput detection of amino acid substitutions in mass spectrometry datasets348
Memory-efficient, accelerated protein interaction inference with blocked, multi-GPU D-SCRIPT281
Statistical framework to determine indel-length distribution235
CompareM2 is a genomes-to-report pipeline for comparing microbial genomes219
MRDagent: iterative and adaptive parameter optimization for stable ctDNA-based MRD detection in heterogeneous samples166
getDNB: identifying dynamic network biomarkers of hepatocellular carcinoma from time-varying gene regulations utilizing graph embedding techniques for anomaly detection143
Mocafe: a comprehensive Python library for simulating cancer development with Phase Field Models140
Correction to: GTExVisualizer: a web platform for supporting ageing studies138
IntegrAlign: a comprehensive tool for multi-immunofluorescence panel integration through image alignment133
ProteinLIPs: a web server for identifying highly polar and poorly packed interfaces in proteins133
NOODAI: a webserver for network-oriented multi-omics data analysis and integration pipeline127
Completing gene trees without species trees in sub-quadratic time118
PANPROVA: pangenomic prokaryotic evolution of full assemblies111
MAFFIN: metabolomics sample normalization using maximal density fold change with high-quality metabolic features and corrected signal intensities111
Viral Diseases Explorer: a webtool to identify viral disease information derived from multiple LLMs107
ATLIGATOR: editing protein interactions with an atlas-based approach103
EvoAug-TF: extending evolution-inspired data augmentations for genomic deep learning to TensorFlow96
Icolos: a workflow manager for structure-based post-processing of de novo generated small molecules94
TRANSDIRE: data-driven direct reprogramming by a pioneer factor-guided trans-omics approach92
Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations90
HelixGAN a deep-learning methodology for conditional de novo design of α-helix structures90
SimPlot++: a Python application for representing sequence similarity and detecting recombination89
Increasing confidence in proteomic spectral deconvolution through mass defect89
Accurate assembly of multiple RNA-seq samples with Aletsch87
FastDup: a scalable duplicate marking tool using speculation-and-test mechanism84
monaLisa: an R/Bioconductor package for identifying regulatory motifs81
Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation78
Cross-species prediction of essential genes in insects78
Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis78
insilicoSV: a flexible grammar-based framework for structural variant simulation and placement77
Exploring automatic inconsistency detection for literature-based gene ontology annotation76
Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci74
MetBP: a software tool for detection of interaction between metal ion–RNA base pairs73
skandiver: a divergence-based analysis tool for identifying intercellular mobile genetic elements72
Harnessing deep learning for proteome-scale detection of amyloid signaling motifs70
ProSynAR: a reference aware read merger69
CANTATA—prediction of missing links in Boolean networks using genetic programming69
Deep Local Analysis deconstructs protein–protein interfaces and accurately estimates binding affinity changes upon mutation68
The phers R package: using phenotype risk scores based on electronic health records to study Mendelian disease and rare genetic variants68
The ENDS of assumptions: an online tool for the epistemic non-parametric drug–response scoring68
Decomposing mosaic tandem repeats accurately from long reads68
MPBind: a multitask protein binding site predictor using protein language models and equivariant GNNs67
Aclust2.0: a revamped unsupervised R tool for Infinium methylation beadchips data analyses66
FastSCODE: an accelerated SCODE algorithm for inferring gene regulatory networks on manycore processors66
PyLiger: scalable single-cell multi-omic data integration in Python65
WMDS.net: a network control framework for identifying key players in transcriptome programs65
DRUMMER—rapid detection of RNA modifications through comparative nanopore sequencing65
Floria: fast and accurate strain haplotyping in metagenomes63
From high-throughput evaluation to wet-lab studies: advancing mutation effect prediction with a retrieval-enhanced model62
GMNN2CD: identification of circRNA–disease associations based on variational inference and graph Markov neural networks62
Inference of 3D genome architecture by modeling overdispersion of Hi-C data62
Evidential meta-model for molecular property prediction61
MICER: a pre-trained encoder–decoder architecture for molecular image captioning60
The FASTQ+ format and PISA60
TripLexicon: prediction and analysis of gene regulatory RNA–DNA interactions59
AFragmenter: schema-free, tuneable protein domain segmentation for AlphaFold protein structures59
Perceiver CPI: a nested cross-attention network for compound–protein interaction prediction58
hapCon: estimating contamination of ancient genomes by copying from reference haplotypes56
Group-walk: a rigorous approach to group-wise false discovery rate analysis by target-decoy competition56
Estimation of cancer cell fractions and clone trees from multi-region sequencing of tumors56
ADViSELipidomics: a workflow for analyzing lipidomics data56
RNAsolo: a repository of cleaned PDB-derived RNA 3D structures56
Oarfish: enhanced probabilistic modeling leads to improved accuracy in long read transcriptome quantification55
DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome55
Single-cell RNA sequencing data analysis based on non-uniformε−neighborhood network54
Hierarchical reinforcement learning for automatic disease diagnosis54
Deciphering high-order structures in spatial transcriptomes with graph-guided Tucker decomposition54
Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation52
Delineating inter- and intra-antibody repertoire evolution with AntibodyForests51
Prediction of gene co-expression from chromatin contacts with graph attention network50
From viral evolution to spatial contagion: a biologically modulated Hawkes model50
XSI—a genotype compression tool for compressive genomics in large biobanks50
EDTox: an R Shiny application to predict the endocrine disruption potential of compounds49
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning49
Columba: fast approximate pattern matching with optimized search schemes49
Adaptive digital tissue deconvolution48
COVID-19 Spread Mapper: a multi-resolution, unified framework and open-source tool48
ViReMaShiny : an interactive application for analysis of viral recombination data48
Powerful molecule generation with simple ConvNet47
LinkExplorer: predicting, explaining and exploring links in large biomedical knowledge graphs47
ShortCake: an integrated platform for efficient and reproducible single-cell analysis47
Prediction and curation of missing biomedical identifier mappings with Biomappings47
hipFG: high-throughput harmonization and integration pipeline for functional genomics data47
BridgeDPI: a novel Graph Neural Network for predicting drug–protein interactions46
vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines46
CFAGO: cross-fusion of network and attributes based on attention mechanism for protein function prediction46
Transfer learning for drug–target interaction prediction46
High-sensitivity pattern discovery in large, paired multiomic datasets46
Omnibus and robust deconvolution scheme for bulk RNA sequencing data integrating multiple single-cell reference sets and prior biological knowledge45
SL-Miner: a web server for mining evidence and prioritization of cancer-specific synthetic lethality45
ECCB2022: the 21st European Conference on Computational Biology45
Correction of image distortion in large-field ssEM stitching by an unsupervised intermediate-space solving network45
RawHummus: an R Shiny app for automated raw data quality control in metabolomics45
Conformal inference for reliable single cell RNA-seq annotation45
BAV-LLPS: a database of bacterial, archaea, and virus liquid–liquid phase separation proteins44
MS-Decipher: a user-friendly proteome database search software with an emphasis on deciphering the spectra of O-linked glycopeptides44
scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression43
Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approach41
Single-cell mutation calling and phylogenetic tree reconstruction with loss and recurrence41
Functional characterization of co-phosphorylation networks41
Comprehensive comparison of two types of algorithm for circRNA detection from short-read RNA-Seq39
Accessible, uniform protein property prediction with a scikit-learn based toolset AIDE38
LimROTS: a hybrid method integrating empirical Bayes and reproducibility-optimized statistics for robust differential expression analysis38
The cell as a token: high-dimensional geometry in language models and cell embeddings38
Cell type matching across species using protein embeddings and transfer learning37
OMEN: network-based driver gene identification using mutual exclusivity37
Microbench: automated metadata management for systems biology benchmarking and reproducibility in Python37
The minimizer Jaccard estimator is biased and inconsistent37
PST-PRNA: prediction of RNA-binding sites using protein surface topography and deep learning37
mHapTk: a comprehensive toolkit for the analysis of DNA methylation haplotypes36
CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties36
PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction35
Graph-theoretical prediction of biological modules in quaternary structures of large protein complexes35
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures35
PltDB: a blood platelets-based gene expression database for disease investigation35
Modified RNAs and predictions with the ViennaRNA Package34
Tightly integrated multiomics-based deep tensor survival model for time-to-event prediction34
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis34
PiLSL: pairwise interaction learning-based graph neural network for synthetic lethality prediction in human cancers33
SpecieScan: semi-automated taxonomic identification of bone collagen peptides from MALDI-ToF-MS33
Generating synthetic genotypes using diffusion models33
A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data33
Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images33
Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics32
Efficient gradient boosting for prognostic biomarker discovery32
Geometry-complete perceptron networks for 3D molecular graphs32
Galaxy Helm chart: a standardized method for deploying production Galaxy servers32
LOCAN: a python library for analyzing single-molecule localization microscopy data32
RNA threading with secondary structure and sequence profile32
Mining literature and pathway data to explore the relations of ketamine with neurotransmitters and gut microbiota using a knowledge-graph32
The 2024 ISCB Overton Prize Award—Dr Martin Steinegger32
AdenPredictor: accurate prediction of the adenylation domain specificity of nonribosomal peptide biosynthetic gene clusters in microbial genomes32
Spectral clustering of single-cell multi-omics data on multilayer graphs32
Conumee 2.0: enhanced copy-number variation analysis from DNA methylation arrays for humans and mice32
2023 ISCB Overton Prize: Jingyi Jessica Li32
MSNet-4mC: learning effective multi-scale representations for identifying DNA N4-methylcytosine sites31
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency31
iSFun: an R package for integrative dimension reduction analysis31
Multistage attention-based extraction and fusion of protein sequence and structural features for protein function prediction30
scSGL: kernelized signed graph learning for single-cell gene regulatory network inference30
An automated multi-modal graph-based pipeline for mouse genetic discovery30
scHiCPTR: unsupervised pseudotime inference through dual graph refinement for single-cell Hi-C data30
Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients30
Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences30
Semi-supervised data-integrated feature importance enhances performance and interpretability of biological classification tasks30
Prediction of HIV sensitivity to monoclonal antibodies using aminoacid sequences and deep learning29
Improving dictionary-based named entity recognition with deep learning29
MIO: microRNA target analysis system for immuno-oncology29
Scbean: a python library for single-cell multi-omics data analysis29
AbDiver: a tool to explore the natural antibody landscape to aid therapeutic design29
Forseti : a mechanistic and predictive model of the splicing status of scRNA-seq reads29
SCONCE: a method for profiling copy number alterations in cancer evolution using single-cell whole genome sequencing29
statgenMPP: an R package implementing an IBD-based mixed model approach for QTL mapping in a wide range of multi-parent populations29
MIAMI: mutual information-based analysis of multiplex imaging data29
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides29
STAAR workflow: a cloud-based workflow for scalable and reproducible rare variant analysis28
An approachable, flexible and practical machine learning workshop for biologists28
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks28
scanMiR: a biochemically based toolkit for versatile and efficient microRNA target prediction28
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning28
PeakBot: machine-learning-based chromatographic peak picking28
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning27
SPRISS: approximating frequentk-mers by sampling reads, and applications27
The 2025 ISCB Overton Prize Award—Dr James Zou27
MixingDTA: improved drug–target affinity prediction by extending mixup with guilt-by-association27
HyperGraphs.jl: representing higher-order relationships in Julia27
2022 ISCB Accomplishments by a Senior Scientist Award: Ron Shamir27
A novel pipeline for computerized mouse spermatogenesis staging27
PDMDA: predicting deep-level miRNA–disease associations with graph neural networks and sequence features27
Nezzle: an interactive and programmable visualization of biological networks in Python27
A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes26
Joint inference of cell lineage and mitochondrial evolution from single-cell sequencing data26
IMPACT: interpretable microbial phenotype analysis via microbial characteristic traits26
AHoJ: rapid, tailored search and retrieval of apo and holo protein structures for user-defined ligands26
Balancing complexity and clarity—towards clinician-ready antibiotic resistance prediction models26
ELIXIR biovalidator for semantic validation of life science metadata25
Foreign RNA spike-ins enable accurate allele-specific expression analysis at scale25
ARTEMIS integrates autoencoders and Schrödinger Bridges to predict continuous dynamics of gene expression, cell population, and perturbation from time-series single-cell data25
Driver gene detection through Bayesian network integration of mutation and expression profiles25
Powerful and interpretable control of false discoveries in two-group differential expression studies25
Polyphest: fast polyploid phylogeny estimation25
Optimal phylogenetic reconstruction of insertion and deletion events25
Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data25
DeepProtein: deep learning library and benchmark for protein sequence learning25
ReadItAndKeep: rapid decontamination of SARS-CoV-2 sequencing reads24
LoRA-DR-suite: adapted embeddings predict intrinsic and soft disorder from protein sequences24
InterpolatedXY: a two-step strategy to normalize DNA methylation microarray data avoiding sex bias24
CATH-ddG: towards robust mutation effect prediction on protein–protein interactions out of CATH homologous superfamily24
CellAnn: a comprehensive, super-fast, and user-friendly single-cell annotation web server24
Determining epitope specificity of T-cell receptors with transformers24
Towards a reproducible interactome: semantic-based detection of redundancies to unify protein–protein interaction databases23
REUNION: transcription factor binding prediction and regulatory association inference from single-cell multi-omics data23
Overcoming biases in causal inference of molecular interactions23
ATHENA: analysis of tumor heterogeneity from spatial omics measurements23
ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation23
Somatic mutation effects diffused over microRNA dysregulation23
Expanding the coverage of spatial proteomics: a machine learning approach23
SPEAR: Systematic ProtEin AnnotatoR23
SEPA: signaling entropy-based algorithm to evaluate personalized pathway activation for survival analysis on pan-cancer data23
SimBu : bias-aware simulation of bulk RNA-seq data with variable cell-type composition23
CIBRA identifies genomic alterations with a system-wide impact on tumor biology23
Bayesian inference of fitness landscapes via tree-structured branching processes23
SNIKT: sequence-independent adapter identification and removal in long-read shotgun sequencing data23
Thermometer: a webserver to predict protein thermal stability22
Pycallingcards: an integrated environment for visualizing, analyzing, and interpreting Calling Cards data22
NFTest: automated testing of Nextflow pipelines22
TopHap: rapid inference of key phylogenetic structures from common haplotypes in large genome collections with limited diversity22
BSDE: barycenter single-cell differential expression for case–control studies22
TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments22
CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations22
AttentionPert: accurately modeling multiplexed genetic perturbations with multi-scale effects21
3D Optical Coherence Tomography image processing in BISCAP: characterization of biofilm structure and properties21
Biological Random Walks: multi-omics integration for disease gene prioritization21
Struct-f4: a Rcpp package for ancestry profile and population structure inference from f4-statistics21
ViTAL: Vision TrAnsformer based Low coverage SARS-CoV-2 lineage assignment21
DDAffinity: predicting the changes in binding affinity of multiple point mutations using protein 3D structure21
3D GAN image synthesis and dataset quality assessment for bacterial biofilm21
Phylogenetic diversity statistics for all clades in a phylogeny21
Looking at the BiG picture: incorporating bipartite graphs in drug response prediction21
Strategies for robust, accurate, and generalizable benchmarking of drug discovery platforms20
RiboGraph: an interactive visualization system for ribosome profiling data at read length resolution20
EDGE COVID-19: a web platform to generate submission-ready genomes from SARS-CoV-2 sequencing efforts20
GASTON-Mix: a unified model of spatial gradients and domains using spatial mixture-of-experts20
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles20
SVJedi-graph: improving the genotyping of close and overlapping structural variants with long reads using a variation graph20
Closing the computational biology ‘knowledge gap’: Spanish Wikipedia as a case study20
Atomic protein structure refinement using all-atom graph representations and SE(3)-equivariant graph transformer20
Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data20
BACPI: a bi-directional attention neural network for compound–protein interaction and binding affinity prediction20
A penalized linear mixed model with generalized method of moments estimators for complex phenotype prediction20
Predicted structural proteome of Sphagnum divinum and proteome-scale annotation20
Joint registration of multiple point clouds for fast particle fusion in localization microscopy20
MolCL-SP: a multimodal contrastive learning framework with non-overlapping substructure perturbations for molecular property prediction20
JBrowse Jupyter: a Python interface to JBrowse 220
Exploiting pretrained biochemical language models for targeted drug design20
ODGI: understanding pangenome graphs20
PlasmoFAB: a benchmark to foster machine learning for Plasmodium falciparum protein antigen candidate prediction20
Optimal sequencing budget allocation for trajectory reconstruction of single cells20
Hierarchical modelling of microbial communities20
metaboprep: an R package for preanalysis data description and processing20
konnect2prot: a web application to explore the protein properties in a functional protein–protein interaction network19
HiCARN: resolution enhancement of Hi-C data using cascading residual networks19
MolMVC: Enhancing molecular representations for drug-related tasks through multi-view contrastive learning19
GRUMB: a genome-resolved metagenomic framework for monitoring urban microbiomes and diagnosing pathogen risk19
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