12 papers · ranked by Valyu relevance
Daniel J Rigden, Xosé M Fernández
The 2026 Nucleic Acids Research database issue has 182 papers from across biology and neighbouring fields. Eighty-four of these papers describe new databases, while 86 are updates on databases that have previously appeared here. Twelve more papers cover databases most recently published elsewhere. New nucleic acid…
Paul L. Soto
Data collection and analysis are central to scientific research, including in applied and basic behavior analysis. A substantial amount of attention has been given to how to rigorously collect and analyze data. Less attention has been paid to storing and maintaining research data, which becomes a critical step in the…
Diana Martínez-Minguet, René Noel, Alberto García S., Mireia Costa + 1 more
Research into the genetics of autism spectrum disorder (ASD) seeks to unravel its complex genetic background by identifying genes associated with the condition at varying levels of confidence. While these findings hold significant potential for clinical applications, the dispersed nature of scientific evidence presents…
Leyla Cabugos, Katheryn Buble, Jenna Daenzer, Sook Jung + 7 more
To improve the FAIRness of agricultural genomic, genetic, and breeding ( [GGB]() ) data, the AgBioData FAIR Scientific Literature Working Group developed a free search tool that helps researchers identify appropriate databases for submitting their data. Existing repository discovery tools lack the specificity needed…
Kim Boesen, Lars G Hemkens, Perrine Janiaud, Julian Hirt
Our systematic database search returned 1707 hits (after deduplication); 15 were assessed in full-text (see reasons for exclusion in [S6, Appendix]() in the Supplementary Material) and one database (TrialsResultsCenter31,32) was included. One database (Evidence Finder33-35) was found through other sources, nine…
Mingrui Liu, Zelin Ye, Haiyu Liu, Pengzhen Ma + 6 more
This review provides a representative overview of public biomedical databases and their use in biomedical research. These resources are categorized into four major types according to their dominant data content: public health databases, clinical databases, comprehensive cohort databases, and omics databases. For each…
Yifei Jiang, Xiaozhuan Jia, Zhenzhong Yang
Medicinal plants have long served as an important asset in the treatment of diseases. Recent developments in computer science have enabled the rise of specialized databases cataloging medicinal plant knowledge. However, a systematic comparison of available region-specific medicinal plant databases is lacking. This…
Allan Garland, Peter Dodek, Kednapa Thavorn, Rita Wissa + 3 more
Introduction While Canada is rich in databases useful to support healthcare research, they are widely distributed, often poorly documented, and it is challenging to identify relevant databases, apply for access, and eventually use, link or harmonise the data. Even if the databases needed to address specific questions…
Miklós Bán
The increasing reliance of biodiversity research on large-scale databases has brought significant progress in data accessibility but also new challenges in data comparability, reliability, and interpretability. While global platforms, such as GBIF and iNaturalist standardize and disseminate vast quantities of…
Débora S. Raposo, Davide Faggionato, Barbara Ebert, Pablo Orozco + 22 more
In October 2024, Parties to the United Nations Convention on Biological Diversity agreed to a new multilateral mechanism to fund biodiversity conservation through the sharing of benefits from open biodiversity data. Biological databases hosting genetic and other biological data, known as digital sequence information…
Marlena Szalata, Mikołaj Danielewski, Karolina Wielgus, Ryszard Słomski + 1 more
Title: Simple Summary A genome is an organism’s set of genetic material (DNA and, in viruses, RNA), and it contains all genes and non-coding sequences. It is well known that the structure of DNA was described by Watson and Crick, but the first studies were conducted a century earlier by Miescher, who described the…
Carlotte KIEKENS, Helena BURGER, Paolo CAPODAGLIO, Maria G. CERAVOLO + 7 more
Variables were divided into 3 main categories: 1. Outcomes: Variables used to verify the results; more specifically, clinical outcomes that are measurable changes in health, symptoms, functioning, or quality of life resulting from the natural history or rehabilitation treatment. 2. Modifiers: Variables introduced due…