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
MCOAN: multimodal contrastive representation learning for cross-omics adaptive disease regulatory network prediction80
ATLIGATOR: editing protein interactions with an atlas-based approach80
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
Viral Diseases Explorer: a webtool to identify viral disease information derived from multiple LLMs58
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
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
Deep Local Analysis deconstructs protein–protein interfaces and accurately estimates binding affinity changes upon mutation53
Inference of 3D genome architecture by modeling overdispersion of Hi-C data53
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
skandiver: a divergence-based analysis tool for identifying intercellular mobile genetic elements45
ADViSELipidomics: a workflow for analyzing lipidomics data45
phylobar: an R package for multiresolution compositional barplots in omics studies44
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
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
Evidential meta-model for molecular property prediction34
Network methods for diagonal integration of unpaired single-cell multiomics data: a review34
WMDS.net: a network control framework for identifying key players in transcriptome programs34
LCR-modules: a collection of workflows for cancer genome analysis34
MICER: a pre-trained encoder–decoder architecture for molecular image captioning31
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
Delineating inter- and intra-antibody repertoire evolution with AntibodyForests30
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
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
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
Columba: fast approximate pattern matching with optimized search schemes28
Hierarchical reinforcement learning for automatic disease diagnosis28
CFAGO: cross-fusion of network and attributes based on attention mechanism for protein function prediction27
Control-guided refinement of partially specified Boolean networks: applications to RTK signaling27
SEMPLR: an R package for transcription factor binding prediction27
CryoPromptSeg: prompt-guided segmentation with integrated denoising for cryo-EM particle picking27
hipFG: high-throughput harmonization and integration pipeline for functional genomics data27
Functional lipid analysis via index-based lipidomics profile: a new computational module in LipidOne27
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
0.094327926635742