Bioinformatics

Papers
(The TQCC of Bioinformatics is 11. 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 2022-07-01 to 2026-07-01.)
ArticleCitations
RVINN: a flexible modeling for inferring dynamic transcriptional and post-transcriptional regulation using physics-informed neural networks2285
CondiS web app: imputation of censored lifetimes for machine learning-based survival analysis1911
Correction to: GTExVisualizer: a web platform for supporting ageing studies1117
ProteinLIPs: a web server for identifying highly polar and poorly packed interfaces in proteins361
IntegrAlign: a comprehensive tool for multi-immunofluorescence panel integration through image alignment251
NOODAI: a webserver for network-oriented multi-omics data analysis and integration pipeline191
Memory-efficient, accelerated protein interaction inference with blocked, multi-GPU D-SCRIPT146
CompareM2 is a genomes-to-report pipeline for comparing microbial genomes141
MRDagent: iterative and adaptive parameter optimization for stable ctDNA-based MRD detection in heterogeneous samples127
Accurate assembly of multiple RNA-seq samples with Aletsch111
Mixtum: a graphical tool for two-way admixture analysis in population genetics based on f -statistics109
FastDup: a scalable duplicate marking tool using speculation-and-test mechanism108
FracFixR: a compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data105
From genes to trajectories: mapping genetic influences on Huntington’s disease progression92
Mocafe: a comprehensive Python library for simulating cancer development with Phase Field Models91
MDCompress: better, faster compression of molecular dynamics simulation trajectories81
ATLIGATOR: editing protein interactions with an atlas-based approach80
MCOAN: multimodal contrastive representation learning for cross-omics adaptive disease regulatory network prediction80
EvoAug-TF: extending evolution-inspired data augmentations for genomic deep learning to TensorFlow79
Icolos: a workflow manager for structure-based post-processing of de novo generated small molecules79
HelixGAN a deep-learning methodology for conditional de novo design of α-helix structures72
The 2025 ISCB Accomplishments by a Senior Scientist Award—Dr Amos Bairoch72
NAViFluX: a visualization‑centric platform for interactive analysis, refinement and design of genome‑scale metabolic networks70
FUSE: data-driven functional segmentation of DNA methylation data70
Refining sequence-to-expression modelling with chromatin accessibility70
Diagnosing scientific replicability through probabilistic distinguishability67
deTELpy: Python package for high-throughput detection of amino acid substitutions in mass spectrometry datasets64
Increasing confidence in proteomic spectral deconvolution through mass defect63
getDNB: identifying dynamic network biomarkers of hepatocellular carcinoma from time-varying gene regulations utilizing graph embedding techniques for anomaly detection59
Statistical framework to determine indel-length distribution59
CodonMoE: DNA language models for codon-dependent mRNA prediction58
HKD-CPI: high-order knowledge distillation enhanced inductive compound-protein interaction prediction58
ChromCall: assigning chromatin status to defined genomic regions using epigenomic profiling data58
Viral Diseases Explorer: a webtool to identify viral disease information derived from multiple LLMs58
A-liner: linear alignment visualizer for genome comparisons57
DivPro: diverse protein sequence design with direct structure recovery guidance57
Group-walk: a rigorous approach to group-wise false discovery rate analysis by target-decoy competition56
The phers R package: using phenotype risk scores based on electronic health records to study Mendelian disease and rare genetic variants55
Inference of 3D genome architecture by modeling overdispersion of Hi-C data53
Deep Local Analysis deconstructs protein–protein interfaces and accurately estimates binding affinity changes upon mutation53
Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci52
Harnessing deep learning for proteome-scale detection of amyloid signaling motifs51
CANTATA—prediction of missing links in Boolean networks using genetic programming48
MPBind: a multitask protein binding site predictor using protein language models and equivariant GNNs47
FastSCODE: an accelerated SCODE algorithm for inferring gene regulatory networks on manycore processors47
ADViSELipidomics: a workflow for analyzing lipidomics data45
skandiver: a divergence-based analysis tool for identifying intercellular mobile genetic elements45
scSurv: a deep generative model for single-cell survival analysis44
SA2E: spatial-aware auto-encoder for cell type deconvolution of spatial transcriptomics data44
TripLexicon: prediction and analysis of gene regulatory RNA–DNA interactions44
phylobar: an R package for multiresolution compositional barplots in omics studies44
The FASTQ+ format and PISA43
Aclust2.0: a revamped unsupervised R tool for Infinium methylation beadchips data analyses43
insilicoSV: a flexible grammar-based framework for structural variant simulation and placement42
DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome42
Oarfish: enhanced probabilistic modeling leads to improved accuracy in long read transcriptome quantification42
From high-throughput evaluation to wet-lab studies: advancing mutation effect prediction with a retrieval-enhanced model41
Floria: fast and accurate strain haplotyping in metagenomes41
Decomposing mosaic tandem repeats accurately from long reads37
A novel method for across-chromosome phasing without relative data37
AFragmenter: schema-free, tuneable protein domain segmentation for AlphaFold protein structures37
Perceiver CPI: a nested cross-attention network for compound–protein interaction prediction37
StrucPTM: a database of structurally validated protein modifications and their conformational variation37
Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis36
Finding low-complexity DNA sequences with longdust35
WMDS.net: a network control framework for identifying key players in transcriptome programs34
LCR-modules: a collection of workflows for cancer genome analysis34
Evidential meta-model for molecular property prediction34
Network methods for diagonal integration of unpaired single-cell multiomics data: a review34
STAR-GO: improving protein function prediction by learning to hierarchically integrate ontology-informed semantic embeddings31
Deciphering high-order structures in spatial transcriptomes with graph-guided Tucker decomposition31
MICER: a pre-trained encoder–decoder architecture for molecular image captioning31
vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines30
EXPLANA: a user-friendly workflow for EXPLoratory ANAlysis and feature selection in cross-sectional and longitudinal microbiome studies30
BrainConnect: processing brain connectivity and spatial transcriptomics data for integrative analysis30
Prediction of gene co-expression from chromatin contacts with graph attention network30
Delineating inter- and intra-antibody repertoire evolution with AntibodyForests30
Singletrack: an algorithm for improving memory consumption and performance of gap-affine sequence alignment29
Adaptive digital tissue deconvolution29
RAREsim2: flexible simulation of rare variant genetic data using real haplotypes29
ViReMaShiny : an interactive application for analysis of viral recombination data29
VDJ-Insights: simplifying the annotation of genomic immunoglobulin and T cell receptor regions29
Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation29
Columba: fast approximate pattern matching with optimized search schemes28
Hierarchical reinforcement learning for automatic disease diagnosis28
Control-guided refinement of partially specified Boolean networks: applications to RTK signaling27
CFAGO: cross-fusion of network and attributes based on attention mechanism for protein function prediction27
CryoPromptSeg: prompt-guided segmentation with integrated denoising for cryo-EM particle picking27
SEMPLR: an R package for transcription factor binding prediction27
Functional lipid analysis via index-based lipidomics profile: a new computational module in LipidOne27
hipFG: high-throughput harmonization and integration pipeline for functional genomics data27
ECCB2022: the 21st European Conference on Computational Biology26
Prediction and curation of missing biomedical identifier mappings with Biomappings26
ShortCake: an integrated platform for efficient and reproducible single-cell analysis26
Transfer learning for drug–target interaction prediction26
GraphyloVar: predicting the impact of non-coding variants using a multi-species sequence model26
A survey of models composed of graph neural networks and large language models for molecular science26
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning26
Omnibus and robust deconvolution scheme for bulk RNA sequencing data integrating multiple single-cell reference sets and prior biological knowledge25
Correction of image distortion in large-field ssEM stitching by an unsupervised intermediate-space solving network25
CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties25
LimROTS: a hybrid method integrating empirical Bayes and reproducibility-optimized statistics for robust differential expression analysis24
Microbench: automated metadata management for systems biology benchmarking and reproducibility in Python24
scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression24
SL-Miner: a web server for mining evidence and prioritization of cancer-specific synthetic lethality24
BAV-LLPS: a database of bacterial, archaea, and virus liquid–liquid phase separation proteins24
Dogme: a nextflow pipeline for reprocessing nanopore RNA and DNA modifications24
Using semantic search to find publicly available gene-expression datasets24
Cell type matching across species using protein embeddings and transfer learning24
Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approach24
Accessible, uniform protein property prediction with a scikit-learn based toolset AIDE24
Geometry-complete perceptron networks for 3D molecular graphs24
RNA threading with secondary structure and sequence profile23
Improving biomedical entity linking with generative relevance feedback23
Correction to: Enhancing interpretation of clinical disease-associated copy number variations from multiple sequencing strategies with CNVSeeker23
PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction23
SpecieScan: semi-automated taxonomic identification of bone collagen peptides from MALDI-ToF-MS23
A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data23
Prediction of bacterial protein–compound interactions with only positive samples23
Single-cell mutation calling and phylogenetic tree reconstruction with loss and recurrence23
nf-core/viralmetagenome: A novel pipeline for untargeted viral genome reconstruction23
mHapTk: a comprehensive toolkit for the analysis of DNA methylation haplotypes23
Graph-theoretical prediction of biological modules in quaternary structures of large protein complexes23
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures23
Mining literature and pathway data to explore the relations of ketamine with neurotransmitters and gut microbiota using a knowledge-graph23
The 2024 ISCB Overton Prize Award—Dr Martin Steinegger22
AdenPredictor: accurate prediction of the adenylation domain specificity of nonribosomal peptide biosynthetic gene clusters in microbial genomes22
Generating synthetic genotypes using diffusion models22
Conumee 2.0: enhanced copy-number variation analysis from DNA methylation arrays for humans and mice22
Conformal inference for reliable single cell RNA-seq annotation22
Duplex-Indel: a Snakemake pipeline for somatic Indel calling in Tn5 transposase-based duplex sequencing data22
PULPO: pipeline of understanding large-scale patterns of oncogenomic signatures22
NEFFy: a versatile tool for computing the number of effective sequences22
Modified RNAs and predictions with the ViennaRNA Package22
The cell as a token: high-dimensional geometry in language models and cell embeddings22
PiLSL: pairwise interaction learning-based graph neural network for synthetic lethality prediction in human cancers22
DeepLMI: deep feature mining with a globally enhanced graph convolutional network for robust lncRNA–miRNA interaction prediction21
2023 ISCB Overton Prize: Jingyi Jessica Li21
SpatialRNA: a Python package for easy application of Graph Neural Network models on single-molecule spatial transcriptomics dataset21
Scbean: a python library for single-cell multi-omics data analysis21
TaxTriage: an open-source metagenomic sequencing data analysis pipeline enabling putative pathogen detection21
statgenMPP: an R package implementing an IBD-based mixed model approach for QTL mapping in a wide range of multi-parent populations21
Multistage attention-based extraction and fusion of protein sequence and structural features for protein function prediction21
treestructure: an R package to detect population structure in phylogenetic trees21
MSNet-4mC: learning effective multi-scale representations for identifying DNA N4-methylcytosine sites21
Semi-supervised data-integrated feature importance enhances performance and interpretability of biological classification tasks21
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks20
Forseti : a mechanistic and predictive model of the splicing status of scRNA-seq reads20
scHiCPTR: unsupervised pseudotime inference through dual graph refinement for single-cell Hi-C data20
Predicting gene-specific regulation with transcriptomic and epigenetic single-cell data20
Balancing complexity and clarity—towards clinician-ready antibiotic resistance prediction models20
Foreign RNA spike-ins enable accurate allele-specific expression analysis at scale20
Drug response profile-based machine learning enables strategic cell line and compound selection for drug development20
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency20
Galaxy Helm chart: a standardized method for deploying production Galaxy servers20
PEStimate : predicting offspring disease risk after polygenic embryo screening20
INDIGENA: inductive prediction of disease–gene associations using phenotype ontologies20
The 2025 ISCB Overton Prize Award—Dr James Zou20
Polyphest: fast polyploid phylogeny estimation20
Improving dictionary-based named entity recognition with deep learning20
CCC-GPU: a graphics processing unit (GPU)-accelerated nonlinear correlation coefficient for large-scale transcriptomic analyses20
Prediction of HIV sensitivity to monoclonal antibodies using aminoacid sequences and deep learning20
Powerful and interpretable control of false discoveries in two-group differential expression studies20
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides20
A novel pipeline for computerized mouse spermatogenesis staging20
HyperSeg-DG: multi-scale hyper feature context for domain-generalized medical image segmentation20
Optimal phylogenetic reconstruction of insertion and deletion events19
LoRA-DR-suite: adapted embeddings predict intrinsic and soft disorder from protein sequences19
ARTEMIS integrates autoencoders and Schrödinger Bridges to predict continuous dynamics of gene expression, cell population, and perturbation from time-series single-cell data19
CellAnn: a comprehensive, super-fast, and user-friendly single-cell annotation web server19
Joint inference of cell lineage and mitochondrial evolution from single-cell sequencing data19
FishFeats: streamlined quantification of multimodal labeling at the single-cell level in 3D tissues19
Integrating curation into scientific publishing to train AI models19
Determining epitope specificity of T-cell receptors with transformers18
Managing workflow executions with WESkit18
TSEDTA: a transformer-based neural network with SMILES transformer and ESM2 embeddings for drug-target binding affinity prediction18
CATH-ddG: towards robust mutation effect prediction on protein–protein interactions out of CATH homologous superfamily18
ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation18
Integrating plant phenotypic and genotypic data in the AGENT project: a BrAPI service implementation18
MixingDTA: improved drug–target affinity prediction by extending mixup with guilt-by-association18
A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes18
Learning drug synergy through environment-conditioned feature modulation18
IMPACT: interpretable microbial phenotype analysis via microbial characteristic traits18
mmContext: an open framework for multimodal contrastive learning of omics and text data18
SimBu : bias-aware simulation of bulk RNA-seq data with variable cell-type composition18
MegaPX: fast and space-efficient peptide assignment method using IBF-based multi-indexing18
AHoJ: rapid, tailored search and retrieval of apo and holo protein structures for user-defined ligands18
Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data18
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning18
Prevalence aware feature selection improves biomarker identification in microbiome studies18
DeepProtein: deep learning library and benchmark for protein sequence learning18
Expanding the coverage of spatial proteomics: a machine learning approach17
Somatic mutation effects diffused over microRNA dysregulation17
NFTest: automated testing of Nextflow pipelines17
RiboGraph: an interactive visualization system for ribosome profiling data at read length resolution17
3D GAN image synthesis and dataset quality assessment for bacterial biofilm17
Biological Random Walks: multi-omics integration for disease gene prioritization17
Phylogenetic diversity statistics for all clades in a phylogeny17
CIBRA identifies genomic alterations with a system-wide impact on tumor biology17
sedimix : a workflow for the analysis of hominin nuclear DNA sequences from sediments17
RISK: a next-generation tool for biological network annotation and visualization17
ViTAL: Vision TrAnsformer based Low coverage SARS-CoV-2 lineage assignment17
CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations16
Bayesian inference of fitness landscapes via tree-structured branching processes16
Accurate SPARQL generation via in-context learning and schema-based query construction16
Semantic-enhanced heterogeneous graph learning for identifying ncRNAs associated with drug resistance16
REUNION: transcription factor binding prediction and regulatory association inference from single-cell multi-omics data16
CMAtlas: a comprehensive DNA methylation atlas for exploring epigenetic alterations in 34 human cancer types16
3D Optical Coherence Tomography image processing in BISCAP: characterization of biofilm structure and properties16
Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data16
BioNeuralNet: a graph neural network based Multi-Omics network data analysis tool16
TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments16
AttentionPert: accurately modeling multiplexed genetic perturbations with multi-scale effects16
GLiNER-BioMed: a suite of efficient models for open biomedical named entity recognition16
Pycallingcards: an integrated environment for visualizing, analyzing, and interpreting Calling Cards data16
Trimmomatic: a decade of feature-rich, high-performance NGS read preprocessing15
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles15
JBrowse Jupyter: a Python interface to JBrowse 215
Hierarchical modelling of microbial communities15
TARO: tree-aggregated factor regression for microbiome data integration15
PERSEUS: an interactive and intuitive web-based tool for pedigree visualization15
Optimal sequencing budget allocation for trajectory reconstruction of single cells15
konnect2prot: a web application to explore the protein properties in a functional protein–protein interaction network15
A deep learning framework for comprehensive prediction of human RNA G-quadruplex-binding proteins15
PlasmoFAB: a benchmark to foster machine learning for Plasmodium falciparum protein antigen candidate prediction15
DDAffinity: predicting the changes in binding affinity of multiple point mutations using protein 3D structure15
A penalized linear mixed model with generalized method of moments estimators for complex phenotype prediction15
Predicted structural proteome of Sphagnum divinum and proteome-scale annotation15
dAMN: a genome-scale neural-mechanistic hybrid model to predict bacterial growth dynamics15
Manifold classification of neuron types from microscopic images15
GAN-based data augmentation for transcriptomics: survey and comparative assessment15
Harmonization and integration of pharmacogenomics screens14
FlowDock: Geometric flow matching for generative protein–ligand docking and affinity prediction14
PanTools v3: functional annotation, classification and phylogenomics14
GASTON-Mix: a unified model of spatial gradients and domains using spatial mixture-of-experts14
MolCL-SP: a multimodal contrastive learning framework with non-overlapping substructure perturbations for molecular property prediction14
Exploiting pretrained biochemical language models for targeted drug design14
Strategies for robust, accurate, and generalizable benchmarking of drug discovery platforms14
G4STAB: a multi-input deep learning model to predict G-quadruplex thermodynamic stability based on sequence and salt concentration14
M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddings14
GRUMB: a genome-resolved metagenomic framework for monitoring urban microbiomes and diagnosing pathogen risk14
MolMVC: Enhancing molecular representations for drug-related tasks through multi-view contrastive learning14
Cleanifier: contamination removal from microbial sequences using spaced seeds of a human pangenome index14
SVJedi-graph: improving the genotyping of close and overlapping structural variants with long reads using a variation graph14
Efficient algorithms for simulating sequences along a phylogenetic tree14
Closing the computational biology ‘knowledge gap’: Spanish Wikipedia as a case study14
Atomic protein structure refinement using all-atom graph representations and SE(3)-equivariant graph transformer14
chem16S: community-level chemical metrics for exploring genomic adaptation to environments13
SERAPHIM 2.0: an extended toolbox for studying phylogenetically informed movements13
Docking cyclic peptides formed by a disulfide bond through a hierarchical strategy13
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