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Volume 39, Issue 9, September 2023
Ionmob: a Python package for prediction of peptide collisional cross-section values
David Teschner and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad486, https://doi.org/10.1093/bioinformatics/btad486
MULGA, a unified multi-view graph autoencoder-based approach for identifying drug–protein interaction and drug repositioning
Jiani Ma and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad524, https://doi.org/10.1093/bioinformatics/btad524
AliSim-HPC: parallel sequence simulator for phylogenetics
Nhan Ly-Trong and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad540, https://doi.org/10.1093/bioinformatics/btad540
Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies
Jun Young Park and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad534, https://doi.org/10.1093/bioinformatics/btad534
ePlatypus: an ecosystem for computational analysis of immunogenomics data
Tudor-Stefan Cotet and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad553, https://doi.org/10.1093/bioinformatics/btad553
aenmd: annotating escape from nonsense-mediated decay for transcripts with protein-truncating variants
Jonathan Klonowski and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad556, https://doi.org/10.1093/bioinformatics/btad556
A general framework for powerful confounder adjustment in omics association studies
Asmita Roy and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad563, https://doi.org/10.1093/bioinformatics/btad563
cloneRate: fast estimation of single-cell clonal dynamics using coalescent theory
Brian Johnson and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad561, https://doi.org/10.1093/bioinformatics/btad561
P-DOR, an easy-to-use pipeline to reconstruct bacterial outbreaks using genomics
Gherard Batisti Biffignandi and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad571, https://doi.org/10.1093/bioinformatics/btad571
BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs
Jackson Callaghan and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad570, https://doi.org/10.1093/bioinformatics/btad570
AFsample: improving multimer prediction with AlphaFold using massive sampling
Björn Wallner
Bioinformatics, Volume 39, Issue 9, September 2023, btad573, https://doi.org/10.1093/bioinformatics/btad573
BQsupports: systematic assessment of the support and novelty of new biomedical associations
Adrià Fernández-Torras and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad581, https://doi.org/10.1093/bioinformatics/btad581
Tcbf: a novel user-friendly tool for pan-3D genome analysis of topologically associating domain in eukaryotic organisms
Xin He and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad576, https://doi.org/10.1093/bioinformatics/btad576
Correction to: Python interfaces for the Smoldyn simulator
Bioinformatics, Volume 39, Issue 9, September 2023, btad558, https://doi.org/10.1093/bioinformatics/btad558
Original Paper
Genome analysis
Joint embedding of biological networks for cross-species functional alignment
Lechuan Li and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad529, https://doi.org/10.1093/bioinformatics/btad529
Multimodal learning of noncoding variant effects using genome sequence and chromatin structure
Wuwei Tan and Yang Shen
Bioinformatics, Volume 39, Issue 9, September 2023, btad541, https://doi.org/10.1093/bioinformatics/btad541
μ- PBWT: a lightweight r-indexing of the PBWT for storing and querying UK Biobank data
Davide Cozzi and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad552, https://doi.org/10.1093/bioinformatics/btad552
INTEGRATE-Circ and INTEGRATE-Vis: unbiased detection and visualization of fusion-derived circular RNA
Jace Webster and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad569, https://doi.org/10.1093/bioinformatics/btad569
GraphCpG: imputation of single-cell methylomes based on locus-aware neighboring subgraphs
Yuzhong Deng and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad533, https://doi.org/10.1093/bioinformatics/btad533
Automated machine learning for genome wide association studies
Kleanthi Lakiotaki and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad545, https://doi.org/10.1093/bioinformatics/btad545
Sequence analysis
MSDRP: a deep learning model based on multisource data for predicting drug response
Haochen Zhao and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad514, https://doi.org/10.1093/bioinformatics/btad514
DCAlign v1.0: aligning biological sequences using co-evolution models and informed priors
Anna Paola Muntoni and Andrea Pagnani
Bioinformatics, Volume 39, Issue 9, September 2023, btad537, https://doi.org/10.1093/bioinformatics/btad537
Reducing cost in DNA-based data storage by sequence analysis-aided soft information decoding of variable-length reads
Seong-Joon Park and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad548, https://doi.org/10.1093/bioinformatics/btad548
Minmers are a generalization of minimizers that enable unbiased local Jaccard estimation
Bryce Kille and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad512, https://doi.org/10.1093/bioinformatics/btad512
DataDTA: a multi-feature and dual-interaction aggregation framework for drug–target binding affinity prediction
Yan Zhu and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad560, https://doi.org/10.1093/bioinformatics/btad560
Phylogenetics
DecentTree: scalable Neighbour-Joining for the genomic era
Weiwen Wang and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad536, https://doi.org/10.1093/bioinformatics/btad536
Phylogenetic inference using generative adversarial networks
Megan L Smith and Matthew W Hahn
Bioinformatics, Volume 39, Issue 9, September 2023, btad543, https://doi.org/10.1093/bioinformatics/btad543
Structural bioinformatics
Optimal selection of suitable templates in protein interface prediction
Steven Grudman and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad510, https://doi.org/10.1093/bioinformatics/btad510
Gene expression
Cell-connectivity-guided trajectory inference from single-cell data
Johannes Smolander and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad515, https://doi.org/10.1093/bioinformatics/btad515
The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data
Viktoria Schuster and Anders Krogh
Bioinformatics, Volume 39, Issue 9, September 2023, btad497, https://doi.org/10.1093/bioinformatics/btad497
IsoFrog: a reversible jump Markov Chain Monte Carlo feature selection-based method for predicting isoform functions
Yiwei Liu and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad530, https://doi.org/10.1093/bioinformatics/btad530
scAce: an adaptive embedding and clustering method for single-cell gene expression data
Xinwei He and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad546, https://doi.org/10.1093/bioinformatics/btad546
ActivePPI: quantifying protein–protein interaction network activity with Markov random fields
Chuanyuan Wang and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad567, https://doi.org/10.1093/bioinformatics/btad567
Genetics and population analysis
HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes
Sophie Wharrie and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad535, https://doi.org/10.1093/bioinformatics/btad535
Genome-wide multimediator analyses using the generalized Berk–Jones statistics with the composite test
En-Yu Lai and Yen-Tsung Huang
Bioinformatics, Volume 39, Issue 9, September 2023, btad544, https://doi.org/10.1093/bioinformatics/btad544
Systems biology
metGWAS 1.0: an R workflow for network-driven over-representation analysis between independent metabolomic and meta-genome-wide association studies
Saifur R Khan and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad523, https://doi.org/10.1093/bioinformatics/btad523
A neighborhood-regularization method leveraging multiview data for predicting the frequency of drug–side effects
Lin Wang and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad532, https://doi.org/10.1093/bioinformatics/btad532
Cardinality optimization in constraint-based modelling: application to human metabolism
Ronan M T Fleming and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad450, https://doi.org/10.1093/bioinformatics/btad450
Data and text mining
Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data
Matthew D Smith and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad446, https://doi.org/10.1093/bioinformatics/btad446
Towards precise PICO extraction from abstracts of randomized controlled trials using a section-specific learning approach
Yan Hu and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad542, https://doi.org/10.1093/bioinformatics/btad542
DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction
Wei Qu and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad551, https://doi.org/10.1093/bioinformatics/btad551
Accessibility of covariance information creates vulnerability in Federated Learning frameworks
Manuel Huth and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad531, https://doi.org/10.1093/bioinformatics/btad531
An extensive benchmark study on biomedical text generation and mining with ChatGPT
Qijie Chen and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad557, https://doi.org/10.1093/bioinformatics/btad557
Databases and ontologies
Somatic mutation effects diffused over microRNA dysregulation
Hui Yu and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad520, https://doi.org/10.1093/bioinformatics/btad520
CellAnn: a comprehensive, super-fast, and user-friendly single-cell annotation web server
Pin Lyu and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad521, https://doi.org/10.1093/bioinformatics/btad521
FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms
Federico Bianca and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad549, https://doi.org/10.1093/bioinformatics/btad549
Applications Note
Genome analysis
iDeLUCS: a deep learning interactive tool for alignment-free clustering of DNA sequences
Pablo Millan Arias and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad508, https://doi.org/10.1093/bioinformatics/btad508
Tracking and curating putative SARS-CoV-2 recombinants with RIVET
Kyle Smith and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad538, https://doi.org/10.1093/bioinformatics/btad538
mbQTL: an R/Bioconductor package for microbial quantitative trait loci (QTL) estimation
Mercedeh Movassagh and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad565, https://doi.org/10.1093/bioinformatics/btad565
Structural bioinformatics
RNA 3D structure modeling by fragment assembly with small-angle X-ray scattering restraints
Grzegorz Chojnowski and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad527, https://doi.org/10.1093/bioinformatics/btad527
DrForna: visualization of cotranscriptional folding
Anda Ramona Tănasie and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad555, https://doi.org/10.1093/bioinformatics/btad555
Gene expression
PyDESeq2: a python package for bulk RNA-seq differential expression analysis
Boris Muzellec and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad547, https://doi.org/10.1093/bioinformatics/btad547
MoleculeExperiment enables consistent infrastructure for molecule-resolved spatial omics data in bioconductor
Bárbara Zita Peters Couto and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad550, https://doi.org/10.1093/bioinformatics/btad550
Genetics and population analysis
diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype
Daoyi Huang and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad517, https://doi.org/10.1093/bioinformatics/btad517
Data and text mining
MuTATE—an R package for comprehensive multi-objective molecular modeling
Sarah G Ayton and Víctor Treviño
Bioinformatics, Volume 39, Issue 9, September 2023, btad507, https://doi.org/10.1093/bioinformatics/btad507
chem16S: community-level chemical metrics for exploring genomic adaptation to environments
Jeffrey M Dick and Xun Kang
Bioinformatics, Volume 39, Issue 9, September 2023, btad564, https://doi.org/10.1093/bioinformatics/btad564
Bioimage informatics
VoDEx: a Python library for time annotation and management of volumetric functional imaging data
Anna Nadtochiy and others
Bioinformatics, Volume 39, Issue 9, September 2023, btad568, https://doi.org/10.1093/bioinformatics/btad568
Message from ISCB
Systems biology
Advancements in computational modelling of biological systems: seventh annual SysMod meeting
Bhanwar Lal Puniya and Andreas Dräger
Bioinformatics, Volume 39, Issue 9, September 2023, btad539, https://doi.org/10.1093/bioinformatics/btad539
Correction
Correction to: Robust joint clustering of multi-omics single-cell data via multi-modal high-order neighborhood Laplacian matrix optimization
Bioinformatics, Volume 39, Issue 9, September 2023, btad554, https://doi.org/10.1093/bioinformatics/btad554
Correction to: Optimal adjustment sets for causal query estimation in partially observed biomolecular networks
Bioinformatics, Volume 39, Issue 9, September 2023, btad559, https://doi.org/10.1093/bioinformatics/btad559
Correction to: “Retraction of: DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 functional and endogenous on-target editing efficiency”
Bioinformatics, Volume 39, Issue 9, September 2023, btad562, https://doi.org/10.1093/bioinformatics/btad562
Correction to: Online bias-aware disease module mining with ROBUST-Web
Bioinformatics, Volume 39, Issue 9, September 2023, btad566, https://doi.org/10.1093/bioinformatics/btad566
Correction to: Clustering spatial transcriptomics data
Bioinformatics, Volume 39, Issue 9, September 2023, btad574, https://doi.org/10.1093/bioinformatics/btad574
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