Zobrazeno 1 - 10
of 14
pro vyhledávání: '"David N. Nicholson"'
Publikováno v:
BioData Mining, Vol 16, Iss 1, Pp 1-14 (2023)
Abstract While we often think of words as having a fixed meaning that we use to describe a changing world, words are also dynamic and changing. Scientific research can also be remarkably fast-moving, with new concepts or approaches rapidly gaining mi
Externí odkaz:
https://doaj.org/article/0ca46b5ba952412d87498580ef533b0c
Publikováno v:
BioData Mining, Vol 15, Iss 1, Pp 1-15 (2022)
Abstract Background Knowledge graphs support biomedical research efforts by providing contextual information for biomedical entities, constructing networks, and supporting the interpretation of high-throughput analyses. These databases are populated
Externí odkaz:
https://doaj.org/article/f823aa1e03e042cdb425499dfda9e19d
Autor:
David N. Nicholson, Casey S. Greene
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 1414-1428 (2020)
Knowledge graphs can support many biomedical applications. These graphs represent biomedical concepts and relationships in the form of nodes and edges. In this review, we discuss how these graphs are constructed and applied with a particular focus on
Externí odkaz:
https://doaj.org/article/e7dff1b2494a4be290867d18dc3a768d
Autor:
David N. Nicholson, Vincent Rubinetti, Dongbo Hu, Marvin Thielk, Lawrence E. Hunter, Casey S. Greene
Publikováno v:
PLoS Biology, Vol 20, Iss 2 (2022)
Preprints allow researchers to make their findings available to the scientific community before they have undergone peer review. Studies on preprints within bioRxiv have been largely focused on article metadata and how often these preprints are downl
Externí odkaz:
https://doaj.org/article/ac09ace3966446288991f41a4ba16257
Autor:
Paul L. Babb, Matjaž Gregorič, Nicholas F. Lahens, David N. Nicholson, Cheryl Y. Hayashi, Linden Higgins, Matjaž Kuntner, Ingi Agnarsson, Benjamin F. Voight
Publikováno v:
PLoS ONE, Vol 17, Iss 6 (2022)
Natural silks crafted by spiders comprise some of the most versatile materials known. Artificial silks–based on the sequences of their natural brethren–replicate some desirable biophysical properties and are increasingly utilized in commercial an
Externí odkaz:
https://doaj.org/article/ae730a947fb54ec088bec84b4b87b6f6
While we often think of words as having a fixed meaning that we use to describe a changing world, words are also dynamic and changing. Scientific research can also be remarkably fast-moving, with new concepts or approaches rapidly gaining mind share.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2b9723def005971d2a88d52c48f45de
https://doi.org/10.1101/2022.06.27.497742
https://doi.org/10.1101/2022.06.27.497742
Autor:
Casey S. Greene, David N. Nicholson
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1414-1428 (2020)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Knowledge graphs can support many biomedical applications. These graphs represent biomedical concepts and relationships in the form of nodes and edges. In this review, we discuss how these graphs are constructed and applied with a particular focus on
Ten important roles for academic leaders to promote equity, diversity, and inclusion in data science
Autor:
Van Q. Truong, ClarLynda R. Williams-DeVane, Jason H. Moore, David N. Nicholson, Ashley B. Robbins
Publikováno v:
BioData Mining
BioData Mining, Vol 14, Iss 1, Pp 1-6 (2021)
BioData Mining, Vol 14, Iss 1, Pp 1-6 (2021)
Autor:
David N. Nicholson, Marvin Think, Lawrence Hunter, Vincent Rubinetti, Casey S. Greene, Dongbo Hu
Preprints allow researchers to make their findings available to the scientific community before they have undergone peer review. Studies on preprints within bioRxiv have been largely focused on article metadata and how often these preprints are downl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d621bf72b23e1ef75f1c26f74f7e909
https://doi.org/10.1101/2021.03.04.433874
https://doi.org/10.1101/2021.03.04.433874
Autor:
Benjamin F. Voight, David N. Nicholson, John B. Hogenesch, Sandra M. Correa-Garhwal, Ingi Agnarsson, Eun Ji Kim, Cheryl Y. Hayashi, Nicholas F. Lahens, Linden Higgins, Matjaž Kuntner, Paul L. Babb
Publikováno v:
Nature genetics. 49(6)
Spider silks are the toughest known biological materials, yet are lightweight and virtually invisible to the human immune system, and they thus have revolutionary potential for medicine and industry. Spider silks are largely composed of spidroins, a