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High-Impact Research from Database

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Explore a collection of the most read and most cited articles making an impact in Database published within the past two years. This collection will be continuously updated with the journal's leading articles so be sure to revisit periodically to see what is being read and cited.

Most cited

EUKARYOME: the rRNA gene reference database for identification of all eukaryotes
Leho Tedersoo and others
Database, Volume 2024, 2024, baae043, https://doi.org/10.1093/database/baae043
Molecular identification of micro- and macroorganisms based on nuclear markers has revolutionized our understanding of their taxonomy, phylogeny and ecology. Today, research on the diversity of eukaryotes in global ecosystems heavily relies on nuclear ribosomal RNA (rRNA) markers. Here, we present the research ...
nhanesA: achieving transparency and reproducibility in NHANES research
Laha Ale and others
Database, Volume 2024, 2024, baae028, https://doi.org/10.1093/database/baae028
The National Health and Nutrition Examination Survey provides comprehensive data on demographics, sociology, health and nutrition. Conducted in 2-year cycles since 1999, most of its data are publicly accessible, making it pivotal for research areas like studying social determinants of health or tracking trends in health ...
Integrating AI-powered text mining from PubTator into the manual curation workflow at the Comparative Toxicogenomics Database
Thomas C Wiegers and others
Database, Volume 2025, 2025, baaf013, https://doi.org/10.1093/database/baaf013
The Comparative Toxicogenomics Database (CTD) is a manually curated knowledge- and discovery-base that seeks to advance understanding about the relationship between environmental exposures and human health. CTD’s manual curation process extracts from the biomedical literature molecular relationships between ...
DisGeNet: a disease-centric interaction database among diseases and various associated genes
Yaxuan Hu and others
Database, Volume 2025, 2025, baae122, https://doi.org/10.1093/database/baae122
The pathogenesis of complex diseases is intricately linked to various genes and network medicine has enhanced understanding of diseases. However, most network-based approaches ignore interactions mediated by noncoding RNAs (ncRNAs) and most databases only focus on the association between genes and diseases. Based on the ...
DrugRepoBank: a comprehensive database and discovery platform for accelerating drug repositioning
Yixian Huang and others
Database, Volume 2024, 2024, baae051, https://doi.org/10.1093/database/baae051
In recent years, drug repositioning has emerged as a promising alternative to the time-consuming, expensive and risky process of developing new drugs for diseases. However, the current database for drug repositioning faces several issues, including insufficient data volume, restricted data types, algorithm inaccuracies ...
Peptipedia v2.0: a peptide sequence database and user-friendly web platform. A major update
Gabriel Cabas-Mora and others
Database, Volume 2024, 2024, baae113, https://doi.org/10.1093/database/baae113
In recent years, peptides have gained significant relevance due to their therapeutic properties. The surge in peptide production and synthesis has generated vast amounts of data, enabling the creation of comprehensive databases and information repositories. Advances in sequencing techniques and artificial intelligence have ...
PDB NextGen Archive: centralizing access to integrated annotations and enriched structural information by the Worldwide Protein Data Bank
Preeti Choudhary and others
Database, Volume 2024, 2024, baae041, https://doi.org/10.1093/database/baae041
The Protein Data Bank (PDB) is the global repository for public-domain experimentally determined 3D biomolecular structural information. The archival nature of the PDB presents certain challenges pertaining to updating or adding associated annotations from trusted external biodata resources. While each Worldwide PDB ...
Aerial Wildlife Image Repository for animal monitoring with drones in the age of artificial intelligence
Sathishkumar Samiappan and others
Database, Volume 2024, 2024, baae070, https://doi.org/10.1093/database/baae070
Drones (unoccupied aircraft systems) have become effective tools for wildlife monitoring and conservation. Automated animal detection and classification using artificial intelligence (AI) can substantially reduce logistical and financial costs and improve drone surveys. However, the lack of annotated animal imagery for ...
Improving biomedical entity linking for complex entity mentions with LLM-based text simplification
Florian Borchert and others
Database, Volume 2024, 2024, baae067, https://doi.org/10.1093/database/baae067
Large amounts of important medical information are captured in free-text documents in biomedical research and within healthcare systems, which can be made accessible through natural language processing (NLP). A key component in most biomedical NLP pipelines is entity linking, i.e. grounding textual mentions of named ...
LitSumm: large language models for literature summarization of noncoding RNAs
Andrew Green and others
Database, Volume 2025, 2025, baaf006, https://doi.org/10.1093/database/baaf006
Curation of literature in life sciences is a growing challenge. The continued increase in the rate of publication, coupled with the relatively fixed number of curators worldwide, presents a major challenge to developers of biomedical knowledgebases. Very few knowledgebases have resources to scale to the whole relevant ...

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