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20212025
most citedDynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)

53 citations · 71 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.OT2025★ 1 cited

The Cell Ontology in the age of single-cell omics

Shawn Zheng Kai Tan, Aleix Puig-Barbe, Damien Goutte-Gattat +32

Single-cell omics technologies have transformed our understanding of cellular diversity by enabling high-resolution profiling of individual cells. However, the unprecedented scale…

cs.AI2023★ 53 cited

Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)

Sabrina Toro, Anna V Anagnostopoulos, Sue Bello +27

Background: Ontologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in…

q-bio.OT2023★ 13 cited

Ten Quick Tips for Harnessing the Power of ChatGPT/GPT-4 in Computational Biology

Tiago Lubiana, Rafael Lopes, Pedro Medeiros +4

The rise of advanced chatbots, such as ChatGPT, has sparked curiosity in the scientific community. ChatGPT is a general-purpose chatbot powered by large language models (LLMs) GPT-…

q-bio.OT2022★ 2 cited

Guidelines for reporting cell types: the MIRACL standard

Tiago Lubiana, Paola Roncaglia, Christopher J. Mungall +4

Cell types are at the root of modern biology, and describing them is a core task of the Human Cell Atlas project. Surprisingly, there are no standards for reporting new cell types,…

q-bio.QM2021★ 2 cited

Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure

Halie M. Rando, Adam L. MacLean, Alexandra J. Lee +31

The novel coronavirus SARS-CoV-2, which emerged in late 2019, has since spread around the world and infected hundreds of millions of people with coronavirus disease 2019 (COVID-19)…