Bioinformatics

Papers
(The median citation count of Bioinformatics 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 2022-05-01 to 2026-05-01.)
ArticleCitations
DivPro: diverse protein sequence design with direct structure recovery guidance2121
RVINN: a flexible modeling for inferring dynamic transcriptional and post-transcriptional regulation using physics-informed neural networks1739
CondiS web app: imputation of censored lifetimes for machine learning-based survival analysis988
Correction to: GTExVisualizer: a web platform for supporting ageing studies603
ProteinLIPs: a web server for identifying highly polar and poorly packed interfaces in proteins400
IntegrAlign: a comprehensive tool for multi-immunofluorescence panel integration through image alignment336
NOODAI: a webserver for network-oriented multi-omics data analysis and integration pipeline207
deTELpy: Python package for high-throughput detection of amino acid substitutions in mass spectrometry datasets171
Memory-efficient, accelerated protein interaction inference with blocked, multi-GPU D-SCRIPT165
CompareM2 is a genomes-to-report pipeline for comparing microbial genomes134
MRDagent: iterative and adaptive parameter optimization for stable ctDNA-based MRD detection in heterogeneous samples129
Viral Diseases Explorer: a webtool to identify viral disease information derived from multiple LLMs116
Accurate assembly of multiple RNA-seq samples with Aletsch101
Mixtum: a graphical tool for two-way admixture analysis in population genetics based on f -statistics100
FastDup: a scalable duplicate marking tool using speculation-and-test mechanism98
FracFixR: a compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data96
From genes to trajectories: mapping genetic influences on Huntington’s disease progression90
getDNB: identifying dynamic network biomarkers of hepatocellular carcinoma from time-varying gene regulations utilizing graph embedding techniques for anomaly detection87
MCOAN: multimodal contrastive representation learning for cross-omics adaptive disease regulatory network prediction85
Statistical framework to determine indel-length distribution80
MAFFIN: metabolomics sample normalization using maximal density fold change with high-quality metabolic features and corrected signal intensities79
ATLIGATOR: editing protein interactions with an atlas-based approach77
EvoAug-TF: extending evolution-inspired data augmentations for genomic deep learning to TensorFlow76
Increasing confidence in proteomic spectral deconvolution through mass defect74
The 2025 ISCB Accomplishments by a Senior Scientist Award—Dr Amos Bairoch74
Icolos: a workflow manager for structure-based post-processing of de novo generated small molecules74
Mocafe: a comprehensive Python library for simulating cancer development with Phase Field Models73
HelixGAN a deep-learning methodology for conditional de novo design of α-helix structures72
MDCompress: better, faster compression of molecular dynamics simulation trajectories71
Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations69
ADViSELipidomics: a workflow for analyzing lipidomics data68
Group-walk: a rigorous approach to group-wise false discovery rate analysis by target-decoy competition67
Estimation of cancer cell fractions and clone trees from multi-region sequencing of tumors67
DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome65
The phers R package: using phenotype risk scores based on electronic health records to study Mendelian disease and rare genetic variants65
Inference of 3D genome architecture by modeling overdispersion of Hi-C data64
Deep Local Analysis deconstructs protein–protein interfaces and accurately estimates binding affinity changes upon mutation62
Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation61
Decomposing mosaic tandem repeats accurately from long reads60
Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis58
Exploring automatic inconsistency detection for literature-based gene ontology annotation57
From high-throughput evaluation to wet-lab studies: advancing mutation effect prediction with a retrieval-enhanced model57
RNAsolo: a repository of cleaned PDB-derived RNA 3D structures57
MetBP: a software tool for detection of interaction between metal ion–RNA base pairs56
Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci56
Harnessing deep learning for proteome-scale detection of amyloid signaling motifs54
FastSCODE: an accelerated SCODE algorithm for inferring gene regulatory networks on manycore processors54
CANTATA—prediction of missing links in Boolean networks using genetic programming54
Evidential meta-model for molecular property prediction52
AFragmenter: schema-free, tuneable protein domain segmentation for AlphaFold protein structures52
TripLexicon: prediction and analysis of gene regulatory RNA–DNA interactions52
WMDS.net: a network control framework for identifying key players in transcriptome programs51
Aclust2.0: a revamped unsupervised R tool for Infinium methylation beadchips data analyses50
scSurv: a deep generative model for single-cell survival analysis50
insilicoSV: a flexible grammar-based framework for structural variant simulation and placement50
Finding low-complexity DNA sequences with longdust48
Floria: fast and accurate strain haplotyping in metagenomes46
hapCon: estimating contamination of ancient genomes by copying from reference haplotypes46
skandiver: a divergence-based analysis tool for identifying intercellular mobile genetic elements45
The FASTQ+ format and PISA45
MPBind: a multitask protein binding site predictor using protein language models and equivariant GNNs45
phylobar: an R package for multiresolution compositional barplots in omics studies43
Oarfish: enhanced probabilistic modeling leads to improved accuracy in long read transcriptome quantification43
SA2E: spatial-aware auto-encoder for cell type deconvolution of spatial transcriptomics data43
Perceiver CPI: a nested cross-attention network for compound–protein interaction prediction42
ShortCake: an integrated platform for efficient and reproducible single-cell analysis41
MICER: a pre-trained encoder–decoder architecture for molecular image captioning41
Powerful molecule generation with simple ConvNet41
Delineating inter- and intra-antibody repertoire evolution with AntibodyForests41
EXPLANA: a user-friendly workflow for EXPLoratory ANAlysis and feature selection in cross-sectional and longitudinal microbiome studies39
ViReMaShiny : an interactive application for analysis of viral recombination data38
CFAGO: cross-fusion of network and attributes based on attention mechanism for protein function prediction38
Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation38
hipFG: high-throughput harmonization and integration pipeline for functional genomics data38
Prediction and curation of missing biomedical identifier mappings with Biomappings38
Columba: fast approximate pattern matching with optimized search schemes37
vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines37
BrainConnect: processing brain connectivity and spatial transcriptomics data for integrative analysis37
Prediction of gene co-expression from chromatin contacts with graph attention network36
Hierarchical reinforcement learning for automatic disease diagnosis36
High-sensitivity pattern discovery in large, paired multiomic datasets36
Functional lipid analysis via index-based lipidomics profile: a new computational module in LipidOne36
VDJ-Insights: simplifying the annotation of genomic immunoglobulin and T cell receptor regions35
Transfer learning for drug–target interaction prediction35
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning35
XSI—a genotype compression tool for compressive genomics in large biobanks35
Adaptive digital tissue deconvolution35
Deciphering high-order structures in spatial transcriptomes with graph-guided Tucker decomposition34
ECCB2022: the 21st European Conference on Computational Biology34
STAR-GO: improving protein function prediction by learning to hierarchically integrate ontology-informed semantic embeddings34
OMEN: network-based driver gene identification using mutual exclusivity33
Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approach33
Omnibus and robust deconvolution scheme for bulk RNA sequencing data integrating multiple single-cell reference sets and prior biological knowledge33
Correction of image distortion in large-field ssEM stitching by an unsupervised intermediate-space solving network33
Prediction of bacterial protein–compound interactions with only positive samples33
SL-Miner: a web server for mining evidence and prioritization of cancer-specific synthetic lethality33
Accessible, uniform protein property prediction with a scikit-learn based toolset AIDE33
LimROTS: a hybrid method integrating empirical Bayes and reproducibility-optimized statistics for robust differential expression analysis32
Conformal inference for reliable single cell RNA-seq annotation32
SpecieScan: semi-automated taxonomic identification of bone collagen peptides from MALDI-ToF-MS31
The cell as a token: high-dimensional geometry in language models and cell embeddings31
Graph-theoretical prediction of biological modules in quaternary structures of large protein complexes30
mHapTk: a comprehensive toolkit for the analysis of DNA methylation haplotypes30
scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression30
BAV-LLPS: a database of bacterial, archaea, and virus liquid–liquid phase separation proteins30
Mining literature and pathway data to explore the relations of ketamine with neurotransmitters and gut microbiota using a knowledge-graph29
Generating synthetic genotypes using diffusion models29
Microbench: automated metadata management for systems biology benchmarking and reproducibility in Python29
Spectral clustering of single-cell multi-omics data on multilayer graphs29
Improving biomedical entity linking with generative relevance feedback29
Using semantic search to find publicly available gene-expression datasets28
CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties28
Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics28
AdenPredictor: accurate prediction of the adenylation domain specificity of nonribosomal peptide biosynthetic gene clusters in microbial genomes28
Dogme: a nextflow pipeline for reprocessing nanopore RNA and DNA modifications28
The minimizer Jaccard estimator is biased and inconsistent28
RNA threading with secondary structure and sequence profile27
Single-cell mutation calling and phylogenetic tree reconstruction with loss and recurrence27
Geometry-complete perceptron networks for 3D molecular graphs27
Modified RNAs and predictions with the ViennaRNA Package27
Functional characterization of co-phosphorylation networks27
Conumee 2.0: enhanced copy-number variation analysis from DNA methylation arrays for humans and mice27
PiLSL: pairwise interaction learning-based graph neural network for synthetic lethality prediction in human cancers27
Cell type matching across species using protein embeddings and transfer learning26
PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction26
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures26
A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data26
2023 ISCB Overton Prize: Jingyi Jessica Li25
MSNet-4mC: learning effective multi-scale representations for identifying DNA N4-methylcytosine sites25
Galaxy Helm chart: a standardized method for deploying production Galaxy servers25
MIAMI: mutual information-based analysis of multiplex imaging data25
The 2024 ISCB Overton Prize Award—Dr Martin Steinegger25
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency25
An automated multi-modal graph-based pipeline for mouse genetic discovery25
Scbean: a python library for single-cell multi-omics data analysis24
MIO: microRNA target analysis system for immuno-oncology24
scHiCPTR: unsupervised pseudotime inference through dual graph refinement for single-cell Hi-C data24
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks24
Semi-supervised data-integrated feature importance enhances performance and interpretability of biological classification tasks24
SpatialRNA: a Python package for easy application of Graph Neural Network models on single-molecule spatial transcriptomics dataset24
Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients24
PeakBot: machine-learning-based chromatographic peak picking23
An approachable, flexible and practical machine learning workshop for biologists23
TaxTriage: an open-source metagenomic sequencing data analysis pipeline enabling putative pathogen detection23
Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences23
Prediction of HIV sensitivity to monoclonal antibodies using aminoacid sequences and deep learning23
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides23
CCC-GPU: a graphics processing unit (GPU)-accelerated nonlinear correlation coefficient for large-scale transcriptomic analyses23
Multistage attention-based extraction and fusion of protein sequence and structural features for protein function prediction23
Forseti : a mechanistic and predictive model of the splicing status of scRNA-seq reads23
Improving dictionary-based named entity recognition with deep learning23
Nezzle: an interactive and programmable visualization of biological networks in Python22
SPRISS: approximating frequentk-mers by sampling reads, and applications22
Foreign RNA spike-ins enable accurate allele-specific expression analysis at scale22
DeepLMI: deep feature mining with a globally enhanced graph convolutional network for robust lncRNA–miRNA interaction prediction22
2022 ISCB Accomplishments by a Senior Scientist Award: Ron Shamir22
Powerful and interpretable control of false discoveries in two-group differential expression studies22
The 2025 ISCB Overton Prize Award—Dr James Zou22
statgenMPP: an R package implementing an IBD-based mixed model approach for QTL mapping in a wide range of multi-parent populations22
Balancing complexity and clarity—towards clinician-ready antibiotic resistance prediction models22
A novel pipeline for computerized mouse spermatogenesis staging22
DeepProtein: deep learning library and benchmark for protein sequence learning21
ARTEMIS integrates autoencoders and Schrödinger Bridges to predict continuous dynamics of gene expression, cell population, and perturbation from time-series single-cell data21
CATH-ddG: towards robust mutation effect prediction on protein–protein interactions out of CATH homologous superfamily21
Optimal phylogenetic reconstruction of insertion and deletion events21
Joint inference of cell lineage and mitochondrial evolution from single-cell sequencing data21
FishFeats: streamlined quantification of multimodal labeling at the single-cell level in 3D tissues21
InterpolatedXY: a two-step strategy to normalize DNA methylation microarray data avoiding sex bias21
ReadItAndKeep: rapid decontamination of SARS-CoV-2 sequencing reads21
AHoJ: rapid, tailored search and retrieval of apo and holo protein structures for user-defined ligands21
LoRA-DR-suite: adapted embeddings predict intrinsic and soft disorder from protein sequences21
HyperGraphs.jl: representing higher-order relationships in Julia21
CellAnn: a comprehensive, super-fast, and user-friendly single-cell annotation web server21
Integrating curation into scientific publishing to train AI models21
Managing workflow executions with WESkit21
Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data21
Polyphest: fast polyploid phylogeny estimation21
A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes20
MixingDTA: improved drug–target affinity prediction by extending mixup with guilt-by-association20
SimBu : bias-aware simulation of bulk RNA-seq data with variable cell-type composition20
ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation20
Somatic mutation effects diffused over microRNA dysregulation20
RiboGraph: an interactive visualization system for ribosome profiling data at read length resolution20
SNIKT: sequence-independent adapter identification and removal in long-read shotgun sequencing data20
Determining epitope specificity of T-cell receptors with transformers20
SPEAR: Systematic ProtEin AnnotatoR20
Expanding the coverage of spatial proteomics: a machine learning approach20
sedimix : a workflow for the analysis of hominin nuclear DNA sequences from sediments20
Phylogenetic diversity statistics for all clades in a phylogeny20
Pycallingcards: an integrated environment for visualizing, analyzing, and interpreting Calling Cards data20
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning20
IMPACT: interpretable microbial phenotype analysis via microbial characteristic traits20
3D GAN image synthesis and dataset quality assessment for bacterial biofilm20
Semantic-enhanced heterogeneous graph learning for identifying ncRNAs associated with drug resistance20
ViTAL: Vision TrAnsformer based Low coverage SARS-CoV-2 lineage assignment20
CMAtlas: a comprehensive DNA methylation atlas for exploring epigenetic alterations in 34 human cancer types20
TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments19
Looking at the BiG picture: incorporating bipartite graphs in drug response prediction19
ODGI: understanding pangenome graphs19
Biological Random Walks: multi-omics integration for disease gene prioritization19
NFTest: automated testing of Nextflow pipelines19
Bayesian inference of fitness landscapes via tree-structured branching processes19
AttentionPert: accurately modeling multiplexed genetic perturbations with multi-scale effects19
G4STAB: a multi-input deep learning model to predict G-quadruplex thermodynamic stability based on sequence and salt concentration19
CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations19
DDAffinity: predicting the changes in binding affinity of multiple point mutations using protein 3D structure19
REUNION: transcription factor binding prediction and regulatory association inference from single-cell multi-omics data19
3D Optical Coherence Tomography image processing in BISCAP: characterization of biofilm structure and properties19
Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data19
GASTON-Mix: a unified model of spatial gradients and domains using spatial mixture-of-experts19
CIBRA identifies genomic alterations with a system-wide impact on tumor biology19
RISK: a next-generation tool for biological network annotation and visualization19
Hierarchical modelling of microbial communities18
PERSEUS: an interactive and intuitive web-based tool for pedigree visualization18
Exploiting pretrained biochemical language models for targeted drug design18
MolMVC: Enhancing molecular representations for drug-related tasks through multi-view contrastive learning18
konnect2prot: a web application to explore the protein properties in a functional protein–protein interaction network18
Atomic protein structure refinement using all-atom graph representations and SE(3)-equivariant graph transformer18
Efficient algorithms for simulating sequences along a phylogenetic tree18
Predicted structural proteome of Sphagnum divinum and proteome-scale annotation18
MolCL-SP: a multimodal contrastive learning framework with non-overlapping substructure perturbations for molecular property prediction18
Strategies for robust, accurate, and generalizable benchmarking of drug discovery platforms18
GRUMB: a genome-resolved metagenomic framework for monitoring urban microbiomes and diagnosing pathogen risk18
JBrowse Jupyter: a Python interface to JBrowse 218
PlasmoFAB: a benchmark to foster machine learning for Plasmodium falciparum protein antigen candidate prediction18
A penalized linear mixed model with generalized method of moments estimators for complex phenotype prediction18
Optimal sequencing budget allocation for trajectory reconstruction of single cells18
Closing the computational biology ‘knowledge gap’: Spanish Wikipedia as a case study18
Cleanifier: contamination removal from microbial sequences using spaced seeds of a human pangenome index18
SVJedi-graph: improving the genotyping of close and overlapping structural variants with long reads using a variation graph18
Manifold classification of neuron types from microscopic images18
A deep learning framework for comprehensive prediction of human RNA G-quadruplex-binding proteins18
Common data model for COVID-19 datasets17
chem16S: community-level chemical metrics for exploring genomic adaptation to environments17
CALDERA: finding all significant de Bruijn subgraphs for bacterial GWAS17
PanTools v3: functional annotation, classification and phylogenomics17
Probabilistic pathway-based multimodal factor analysis17
CREMSA: compressed indexing of (ultra) large multiple sequence alignments17
Assembly and reasoning over semantic mappings at scale for biomedical data integration17
M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddings17
Joint registration of multiple point clouds for fast particle fusion in localization microscopy17
GAN-based data augmentation for transcriptomics: survey and comparative assessment17
HNOXPred: a web tool for the prediction of gas-sensing H-NOX proteins from amino acid sequence17
HCS—hierarchical algorithm for simulation of omics datasets17
TARO: tree-aggregated factor regression for microbiome data integration17
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles17
FlowDock: Geometric flow matching for generative protein–ligand docking and affinity prediction17
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks16
Drug–Protein interaction prediction by correcting the effect of incomplete information in heterogeneous information16
The 2024 ISCB Accomplishments by a Senior Scientist Award—Dr Tandy Warnow16
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