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Gut MicrobiotAware: how much do we know about gut microbiota? An international questionnaire.
Enriqueta García-Gutiérrez, Sara Arbulu, Charlotte Oliver, Sandeep Kumar, Sarita A. Dam, Babette Jakobi, Vincenzo Pennone, Fabiana Andréa Hoffmann Sardá, Arghya Mukherjee, Paul D. Cotter
This study assesses public and healthcare professionals' knowledge of gut microbiota and evaluates their understanding of its health links to improve communication strategies.
Frontiers in Microbiology · Jan 9, 2026Peer-reviewedScientific Communication & Education
Loss of Exocytosis Protein DOC2B is an Early Event in Type 1 Diabetes Development
Diana Esparza, Eunjin Oh, Jinhee H Hwang, Diti Chatterjee Bhowmick, Erika M. McCown, Jeannette Hacker-Stratton, Fouad F Kandeel, Helena Reijonen, William Hagopian, Tijana Jovanović‐Talisman, Debbie C. Thurmond
The paper identifies DOC2B decline as an early biomarker of presymptomatic type 1 diabetes progression, preceding traditional markers like C-peptide and HbA1c.
bioRxiv · Jan 6, 2026 · PreprintPhysiology
Comprehensive hallmark gene sequence, genomic and structural analysis of Picornavirales viruses clarifies new and existing taxa
Richard Mayne, Donald B. Smith, Katherine A. Brown, Yan Ping Chen, Andrew E. Firth, Kazuhiko Katayama, Nick J. Knowles, Peter Simmonds K
The paper genetically classifies 525 Picornavirales genomes and 'picorna-like' viruses using multiple sequence and structural analyses, revealing support for existing families and six novel families, along with 32 new genera.
bioRxiv · Jan 5, 2026 · PreprintMicrobiology
Benchmarking algorithms for RNA velocity inference
Kexin Huang, Yu Zhou, Tiangang Wang, Li Xiao, Xinlong Zhao, Xi Liu, Liyu Huang, Xiaobo Zhou, J Liu
This study benchmarks 29 RNA velocity algorithms across simulated and real scRNA-seq datasets, highlighting performance variations and practical constraints.
bioRxiv · Jan 3, 2026 · PreprintBioinformatics
Probing the content of semantic representations in body-selective regions
Ryuto Yashiro, Masataka Sawayama, Ayumu Yamashita, Kaoru Amano
The paper investigates semantic representations in body-selective brain regions by linking natural scene captions to neural responses, finding that implied body motion is the primary contributor.
Imaging Neuroscience · Jan 1, 2026Peer-reviewedNeuroscience
Systematic fMRI signal differences across cohorts alter lifespan trajectories of functional brain networks
Micaela Y. Chan, Liang Han, Gagan S. Wig
The paper examines how systematic fMRI signal differences across cohorts affect lifespan trajectories of functional brain networks and shows how harmonization can mitigate these effects.
Imaging Neuroscience · Jan 1, 2026Peer-reviewedNeuroscience
Fluorescence lifetime estimation: a practical approach using Flipper-TR FLIM
Tithi Mandal, Aurélien Roux, Juan Manuel GARCIA ARCOS
Benchmarking fluorescence lifetime estimators for the membrane mechanosensor Flipper-TR across microscopes, laser frequencies, and photon budgets establishes practical guidelines for quantifying relative lipid packing dynamics in live cells.
Methods in enzymology on CD-ROM/Methods in enzymology · Jan 1, 2026Peer-reviewedBiophysics✦ In-depth digest
DoReMiTra: An R/Bioconductor data package for orchestrating the analysis of radiation transcriptomic studies
Ahmed Salah, Sebastian Zahnreich, Fédérico Marini
DoReMiTra provides a unified radiation transcriptomics dataset collection with standardized metadata and pre-processed data for benchmarking and integrative analysis.
Bioinformatics Advances · Jan 1, 2026Peer-reviewedBioinformatics
CoV-UniBind: A Unified Antibody Binding Database for SARS-CoV-2
Aryan Bhasin, Francesco Saccon, Callum Canavan, Andrew Robson, Joao Paulo Euko, Alexandra C. Walls, Yunguan Fu
The paper introduces CoV-UniBind, a unified database of SARS-CoV-2 antibody-antigen interactions, and benchmarks models for antibody design and vaccine development.
Bioinformatics Advances · Jan 1, 2026Peer-reviewedImmunology
GEfetch2R: fetching single-cell/bulk RNA-seq data from public repositories to R and benchmarking the subsequent format conversion tools
Yabing Song, Jianbin Wang, Jiaxin Gao
GEfetch2R downloads and processes scRNA-seq and bulk RNA-seq data from public repositories, converts formats between scRNA-seq objects, and benchmarks conversion tools.
GigaScience · Jan 1, 2026Peer-reviewedBioinformatics
EC-Bench: A Benchmark for Enzyme Commission NumberPrediction
Sara Davoudi, Christopher Scott Henry, Christopher S. Miller, Farnoush Banaei‐Kashani
EC-Bench provides a benchmark for evaluating EC number prediction methods, comparing existing approaches and highlighting task-specific performance variations.
Bioinformatics Advances · Jan 1, 2026Peer-reviewedBioinformatics
GeneSNAKE: a Python package for benchmarking and simulation of gene regulatory networks and perturbation-induced expression data
Thomas Hillerton, Anton Björk, Nils Lundqvist, Erik K. Zhivkoplias, Mateusz Garbulowski, Erik L. L. Sonnhammer
GeneSNAKE is a Python package that simulates gene regulatory networks and perturbation-induced expression data for benchmarking, offering control over network properties and noise models.
Bioinformatics Advances · Jan 1, 2026Peer-reviewedBioinformatics
Crossing effects in the tactile temporal order judgment task: A meta-analysis
Nina Schmelter, Benedikt Langenberg, Axel Mayer, Tobias Heed
This paper conducts a meta-analysis of the tactile temporal order judgment crossing effect, finding a large effect size but limited moderator significance.
DOAJ (DOAJ: Directory of Open Access Journals) · Jan 1, 2026Peer-reviewedNeuroscience
Navigating methodological decisions: Balancing rigor and data volume of the Canadian Living Planet Index
Jessica Currie, Sarah M Ravoth, Valentina Marconi, Louise McRae, María Isabel Arce-Plata, Sandra Emry, Robin Freeman, Maximiliane Jousse, Gaëlle Mével, Shuaishuai Li, Cristian A. Cruz-Rodríguez, David AGA Hunt, Philippa Oppenheimer, Lauren Gill, Janaína Serrano, Stefanie Deinet
This paper evaluates methodological choices for the Canadian Living Planet Index and explores their impact on results without advocating a single approach.
FACETS · Jan 1, 2026Peer-reviewedEcology
CARDBiomedBench: A Benchmark for Evaluating Large Language Model Performance in Biomedical Research
Owen Bianchi, Maya Willey, Chelsea X. Alvarado, Benjamin P. Danek, Marzieh Khani, Nicole Kuznetsov, Anant Dadu, Syed Muhammad Tahir Shah, Mathew J. Koretsky, Mary B. Makarious, Cory A. Weller, Kristin S. Levine, Sungwon Kim, Paige Jarreau, Dan Vitale, , Faraz Faghri
CARDBiomedBench evaluates LLM performance in biomedical research using a benchmark focused on neurodegenerative diseases, revealing significant limitations in response quality and safety.
The Lancet Digital Health · Jan 1, 2026Peer-reviewedBioinformatics
Federated Knowledge Retrieval Elevates Large Language Model Performance on Biomedical Benchmarks
This paper introduces BTE-RAG, a retrieval-augmented generation framework that improves LLM performance on biomedical benchmarks by integrating mechanistic evidence from federated knowledge sources.
GigaScience · Jan 1, 2026Peer-reviewedBioinformatics
Benchmarking antigen-aware inverse folding methods for antibody design.
Bartosz Janusz, Dawid Chomicz, Sonia Wrobel, Paweł Dudzic, Adithya Polasa, Kyle Martin, Steven J. Darnell, Stephen R. Comeau, Konrad Krawczyk
This study benchmarks inverse folding methods for antibody design to assess their effectiveness in predicting binder sequences given a structure.
Bioinformatics Advances · Jan 1, 2026Peer-reviewedBioinformatics
An Evidence-Grounded Research Assistant for Functional Genomics and Drug Target Assessment
Ksenia Sokolova, Dmitri Kosenkov, Keerthana Nallamotu, Sanketh Vedula, Daniil Sokolov, Guillermo Sapiro, Olga G. Troyanskaya
Alvessa improves accuracy in functional genomics and drug target assessment by integrating evidence-based reasoning and verification.
bioRxiv · Dec 31, 2025 · PreprintBioinformatics
Bento: Benchmarking Classical and AI Docking on Drug Design-Relevant Data
Marina A. Pak, Daria Frolova, Sergei A. Nikolenko, Talgat Daulbaev, Daria A. Ryabchenko, Anna Litvin, Pavel E. Gurevich, Kamil Garifullin, Alexander V. Shapeev, Ivan Valer'evich Oseledets, Dmitry N. Ivankov
This study benchmarks 11 protein-ligand interaction prediction tools, showing classical and deep learning methods perform similarly on drug-like ligands, while co-folding tools excel on complex ligands and all struggle with generalization to unseen pockets.
bioRxiv · Dec 30, 2025 · PreprintBioinformatics
Fitness Landscape for Antibodies 2: Benchmarking Reveals That Protein AI Models Cannot Yet Consistently Predict Developability Properties
Michael Chungyoun, J. Robert Gray
This paper benchmarks AI models on predicting antibody developability properties using FLAb2, finding they cannot consistently predict most properties and performance depends on data and architecture.
bioRxiv · Dec 27, 2025 · PreprintBioinformatics
COMPARATIVE METAGENOMIC ASSESSMENT OF SHORT- AND LONG-READ SEQUENCING TECHNOLOGIES REVEALS UNKNOWN MICROBIAL INFORMATION IN A COMPLEX ENVIRONMENTAL SAMPLE
Rubén Díaz‐Rúa, Daniela I. Drautz‐Moses, Xiang Zhao, Sadhasivam Perumal, Luke E. Esau, Angel Angelov, Alexander Putra, Patrick Driguez, Ming Sin Cheung, Emanuele Palescandolo
The paper compares short- and long-read sequencing technologies in metagenomics, showing that longer short reads with optimal prep improve assembly and protein detection without needing more sequencing depth.
bioRxiv · Dec 26, 2025 · PreprintGenomics
FHIR as a Unifying Format for Genomic Research Data Tracking, Aggregation, and Integration
Nasim Sanati, Brian Walsh, Parker Gray, Lauren Hagen, Robert J. Carroll, Allison P. Heath, Boris Aguilar, Amanda L. Charbonneau, Kyle Ellrott
The paper explores using FHIR to integrate genomic research data from multiple repositories and evaluates its effectiveness for structured data representation and aggregation.
bioRxiv · Dec 24, 2025 · PreprintBioinformatics
Insights into the Datasets, Tools, and Training Needs of the AnVIL Community: 2024
Kathryn J. Isaac, Katherine E.L. Cox, Kai Yin Ho, Elizabeth Humphries, Natalie Kucher, Jeffrey T. Leek, Stephen Mosher, Michael C. Schatz, Frederick J. Tan, Ava M. Hoffman
This study surveys the AnVIL community to understand user needs, training preferences, and platform adoption opportunities.
F1000Research · Dec 22, 2025Peer-reviewedScientific Communication & Education
PTEN deficiency linked to chromosome 10q loss leads to aggressive NF2mutant meningioma biology
Abigail G Parrish, H. Nayanga Thirimanne, Sonali Arora, Christel C. Herold‐Mende, Philipp Sievers, Felix Sahm, Frank Szulzewsky, Eric C. Holland
The paper identifies PTEN loss as a driver of aggressive NF2 mutant meningiomas and validates a cross-species model for preclinical testing.
bioRxiv · Dec 22, 2025 · PreprintCancer Biology
ProteoBench: the community-curated platform for comparing proteomics data analysis workflows
Robbe Devreese, Caroline Jachmann, Bart Van Puyvelde, Holda A. Anagho, Witold Wolski, Henry Emanuel Webel, Matthias Mattanovich, Wout Bittremieux, Karima Chaoui, Cristina Chiva, Tine Claeys, Hector Mauricio Castaneda Cortes, Simon Devos, Maarten Dhaenens, Nadezhda T. Doncheva, , Marie Locard‐Paulet
ProteoBench provides a centralized platform for comparing proteomics data analysis workflows, enabling benchmarking and community collaboration.
bioRxiv · Dec 20, 2025 · PreprintBioinformatics
Cross-ancestry information transfer framework improves protein abundance prediction and protein-trait association identification
Wenli Zhai, Lingyun Sun, Wenwei Fang, Yidan Dong, Chunxiao Cheng, Yuanjiao Liu, Yuan Zhou, Jiadong Ji, Lang Wu, An Pan, Eric R. Gamazon, Xiaoping Pan, Dan Zhou
The paper develops a cross-ancestry information transfer framework to improve protein abundance prediction and protein-trait association identification in underrepresented populations.
Briefings in Bioinformatics · Dec 20, 2025Peer-reviewedGenomics
Benchmarking Software for DDA-PASEF Immunopeptidomics
Yannic Chen, Annica Preikschat, Annette Arnold, Riccardo Pecori, David Gomez‐Zepeda, Stefan Tenzer
This study benchmarks DDA-PASEF immunopeptidomics software tools, showing PEAKS identifies the most immunopeptides, while database size affects performance across platforms.
Molecular & Cellular Proteomics · Dec 20, 2025Peer-reviewedBioinformatics
Benchmarking datasets for machine learning in protein function prediction
Yaan J. Jang, Qi-Qi Qin, Jin-Lei Wang, Benoı̂t Kornmann
The paper creates a benchmarking dataset for protein function prediction by curating functional annotations from UniProt, enabling training and evaluation of machine learning models.
bioRxiv · Dec 19, 2025 · PreprintBioinformatics
Benchmarking Chemical, Genetic, and Cell Line Encodings for Cancer Perturbation Response Prediction
Valentyna Zinchenko, Andreas Schlicker, Roman Kurilov, Alison Pouplin, Santiago Villalba, Marc Horlacher
The paper benchmarks encoding methods for chemical, genetic, and cell line perturbations to predict cancer cell viability and gene dependency.
bioRxiv · Dec 17, 2025 · PreprintBioinformatics