Bioinformatics

Papers
(The H4-Index of Bioinformatics is 58. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Correction to: GTExVisualizer: a web platform for supporting ageing studies1317
Predicting anti-cancer drug response by finding optimal subset of drugs861
Accurate assembly of multiple RNA-seq samples with Aletsch751
Statistical framework to determine indel-length distribution647
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology517
Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network473
CondiS web app: imputation of censored lifetimes for machine learning-based survival analysis278
Completing gene trees without species trees in sub-quadratic time272
deTELpy: Python package for high-throughput detection of amino acid substitutions in mass spectrometry datasets260
ATLIGATOR: editing protein interactions with an atlas-based approach260
LPTD: a novel linear programming-based topology determination method for cryo-EM maps206
Mocafe: a comprehensive Python library for simulating cancer development with Phase Field Models184
EvoAug-TF: extending evolution-inspired data augmentations for genomic deep learning to TensorFlow177
Integrated Genome Browser App Store167
PANPROVA: pangenomic prokaryotic evolution of full assemblies148
MuWU: Mutant-seq library analysis and annotation145
Haplotype-based membership inference from summary genomic data131
TRANSDIRE: data-driven direct reprogramming by a pioneer factor-guided trans-omics approach130
pKPDB: a protein data bank extension database of pKa and pI theoretical values123
Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations114
Icolos: a workflow manager for structure-based post-processing of de novo generated small molecules113
Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores106
Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments103
Practical selection of representative sets of RNA-seq samples using a hierarchical approach102
3Cnet: pathogenicity prediction of human variants using multitask learning with evolutionary constraints99
DTI-Voodoo: machine learning over interaction networks and ontology-based background knowledge predicts drug–target interactions97
MAFFIN: metabolomics sample normalization using maximal density fold change with high-quality metabolic features and corrected signal intensities97
Deep Subspace Mutual Learning for cancer subtypes prediction95
SimPlot++: a Python application for representing sequence similarity and detecting recombination94
monaLisa: an R/Bioconductor package for identifying regulatory motifs89
Increasing confidence in proteomic spectral deconvolution through mass defect88
PsiNorm: a scalable normalization for single-cell RNA-seq data83
HelixGAN a deep-learning methodology for conditional de novo design of α-helix structures81
ELIXIR: providing a sustainable infrastructure for life science data at European scale80
DeepSVP: integration of genotype and phenotype for structural variant prioritization using deep learning79
Refget: standardized access to reference sequences79
DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome78
Prediction of whole-cell transcriptional response with machine learning76
DRUMMER—rapid detection of RNA modifications through comparative nanopore sequencing76
Inference of 3D genome architecture by modeling overdispersion of Hi-C data75
Cross-species prediction of essential genes in insects73
Deep Local Analysis deconstructs protein–protein interfaces and accurately estimates binding affinity changes upon mutation70
WMDS.net: a network control framework for identifying key players in transcriptome programs69
ProSynAR: a reference aware read merger67
PyLiger: scalable single-cell multi-omic data integration in Python67
MAGUS+eHMMs: improved multiple sequence alignment accuracy for fragmentary sequences67
CANTATA—prediction of missing links in Boolean networks using genetic programming67
Exploring automatic inconsistency detection for literature-based gene ontology annotation65
Aclust2.0: a revamped unsupervised R tool for Infinium methylation beadchips data analyses64
Erratum to: GADGETS: a genetic algorithm for detecting epistasis using nuclear families64
Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci62
skandiver: a divergence-based analysis tool for identifying intercellular mobile genetic elements62
MetBP: a software tool for detection of interaction between metal ion–RNA base pairs61
Tysserand—fast and accurate reconstruction of spatial networks from bioimages60
Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis59
Probabilistic identification of bacterial essential genes via insertion density using TraDIS data with Tn5 libraries59
Deconvolution of expression for nascent RNA-sequencing data (DENR) highlights pre-RNA isoform diversity in human cells58
trfermikit: a tool to discover VNTR-associated deletions58
Evidential meta-model for molecular property prediction58
0.31093883514404