Zobrazeno 1 - 10
of 1 040
pro vyhledávání: '"Mungall, A. J."'
Autor:
Caufield, Harry, Kroll, Carlo, O'Neil, Shawn T, Reese, Justin T, Joachimiak, Marcin P, Hegde, Harshad, Harris, Nomi L, Krishnamurthy, Madan, McLaughlin, James A, Smedley, Damian, Haendel, Melissa A, Robinson, Peter N, Mungall, Christopher J
Effective data-driven biomedical discovery requires data curation: a time-consuming process of finding, organizing, distilling, integrating, interpreting, annotating, and validating diverse information into a structured form suitable for databases an
Externí odkaz:
http://arxiv.org/abs/2411.00046
Autor:
Hegde, Harshad, Vendetti, Jennifer, Goutte-Gattat, Damien, Caufield, J Harry, Graybeal, John B, Harris, Nomi L, Karam, Naouel, Kindermann, Christian, Matentzoglu, Nicolas, Overton, James A, Musen, Mark A, Mungall, Christopher J
Ontologies and knowledge graphs (KGs) are general-purpose computable representations of some domain, such as human anatomy, and are frequently a crucial part of modern information systems. Most of these structures change over time, incorporating new
Externí odkaz:
http://arxiv.org/abs/2409.13906
Autor:
Mullen, Kathleen R., Tammen, Imke, Matentzoglu, Nicolas A., Mather, Marius, Mungall, Christopher J., Haendel, Melissa A., Nicholas, Frank W., Toro, Sabrina, Consortium, the Vertebrate Breed Ontology
Background: Limited universally adopted data standards in veterinary science hinders data interoperability and therefore integration and comparison; this ultimately impedes application of existing information-based tools to support advancement in vet
Externí odkaz:
http://arxiv.org/abs/2406.02623
Autor:
Avaylon, Matthew, Ly, Ryan, Tritt, Andrew, Dichter, Benjamin, Bouchard, Kristofer E., Mungall, Christopher J., Ruebel, Oliver
Across many domains, large swaths of digital assets are being stored across distributed data repositories, e.g., the DANDI Archive [8]. The distribution and diversity of these repositories impede researchers from formally defining terminology within
Externí odkaz:
http://arxiv.org/abs/2406.00063
Autor:
Joachimiak, Marcin P., Miller, Mark A., Caufield, J. Harry, Ly, Ryan, Harris, Nomi L., Tritt, Andrew, Mungall, Christopher J., Bouchard, Kristofer E.
The Artificial Intelligence Ontology (AIO) is a systematization of artificial intelligence (AI) concepts, methodologies, and their interrelations. Developed via manual curation, with the additional assistance of large language models (LLMs), AIO aims
Externí odkaz:
http://arxiv.org/abs/2404.03044
Autor:
Toro, Sabrina, Anagnostopoulos, Anna V, Bello, Sue, Blumberg, Kai, Cameron, Rhiannon, Carmody, Leigh, Diehl, Alexander D, Dooley, Damion, Duncan, William, Fey, Petra, Gaudet, Pascale, Harris, Nomi L, Joachimiak, Marcin, Kiani, Leila, Lubiana, Tiago, Munoz-Torres, Monica C, O'Neil, Shawn, Osumi-Sutherland, David, Puig, Aleix, Reese, Justin P, Reiser, Leonore, Robb, Sofia, Ruemping, Troy, Seager, James, Sid, Eric, Stefancsik, Ray, Weber, Magalie, Wood, Valerie, Haendel, Melissa A, Mungall, Christopher J
Background: Ontologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in an accurate and computable form. However, their construction and main
Externí odkaz:
http://arxiv.org/abs/2312.10904
Autor:
Amusat, Oluwamayowa O., Hegde, Harshad, Mungall, Christopher J., Giannakou, Anna, Byers, Neil P., Gunter, Dan, Fagnan, Kjiersten, Ramakrishnan, Lavanya
Publikováno v:
Database (2024), Vol. 2024: article ID baae093, 1-18
Advanced omics technologies and facilities generate a wealth of valuable data daily; however, the data often lacks the essential metadata required for researchers to find and search them effectively. The lack of metadata poses a significant challenge
Externí odkaz:
http://arxiv.org/abs/2311.05042
Autor:
Matentzoglu, Nicolas, Caufield, J. Harry, Hegde, Harshad B., Reese, Justin T., Moxon, Sierra, Kim, Hyeongsik, Harris, Nomi L., Haendel, Melissa A, Mungall, Christopher J.
Aligning terminological resources, including ontologies, controlled vocabularies, taxonomies, and value sets is a critical part of data integration in many domains such as healthcare, chemistry, and biomedical research. Entity mapping is the process
Externí odkaz:
http://arxiv.org/abs/2310.03666
Autor:
Groza, Tudor, Caufield, Harry, Gration, Dylan, Baynam, Gareth, Haendel, Melissa A, Robinson, Peter N, Mungall, Christopher J, Reese, Justin T
Objective: Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field. These processes rely on u
Externí odkaz:
http://arxiv.org/abs/2309.17169
Autor:
Callahan, Tiffany J., Tripodi, Ignacio J., Stefanski, Adrianne L., Cappelletti, Luca, Taneja, Sanya B., Wyrwa, Jordan M., Casiraghi, Elena, Matentzoglu, Nicolas A., Reese, Justin, Silverstein, Jonathan C., Hoyt, Charles Tapley, Boyce, Richard D., Malec, Scott A., Unni, Deepak R., Joachimiak, Marcin P., Robinson, Peter N., Mungall, Christopher J., Cavalleri, Emanuele, Fontana, Tommaso, Valentini, Giorgio, Mesiti, Marco, Gillenwater, Lucas A., Santangelo, Brook, Vasilevsky, Nicole A., Hoehndorf, Robert, Bennett, Tellen D., Ryan, Patrick B., Hripcsak, George, Kahn, Michael G., Bada, Michael, Baumgartner Jr, William A., Hunter, Lawrence E.
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle
Externí odkaz:
http://arxiv.org/abs/2307.05727