Zobrazeno 1 - 10
of 51
pro vyhledávání: '"G. Thomas Hayman"'
Autor:
Lucy Lu Wang, G. Thomas Hayman, Jennifer R. Smith, Monika Tutaj, Mary E. Shimoyama, John H. Gennari
Publikováno v:
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-11 (2019)
Abstract Background To improve the outcomes of biological pathway analysis, a better way of integrating pathway data is needed. Ontologies can be used to organize data from disparate sources, and we leverage the Pathway Ontology as a unifying ontolog
Externí odkaz:
https://doaj.org/article/a48580a1c17f422ba60351f47a585c74
Autor:
Mary Shimoyama, Stanley J. F. Laulederkind, Jeff De Pons, Rajni Nigam, Jennifer R. Smith, Marek Tutaj, Victoria Petri, G. Thomas Hayman, Shur-Jen Wang, Omid Ghiasvand, Jyothi Thota, Melinda R. Dwinell
Publikováno v:
Disease Models & Mechanisms, Vol 9, Iss 10, Pp 1089-1095 (2016)
Rattus norvegicus, the laboratory rat, has been a crucial model for studies of the environmental and genetic factors associated with human diseases for over 150 years. It is the primary model organism for toxicology and pharmacology studies, and has
Externí odkaz:
https://doaj.org/article/cf1daa14245940ea9f20e9d4948e36f3
Autor:
Victoria Petri, G. Thomas Hayman, Marek Tutaj, Jennifer R. Smith, Stan Laulederkind, Shur-Jen Wang, Rajni Nigam, Jeff De Pons, Mary Shimoyama, Melinda R. Dwinell
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 14, Iss C, Pp 35-48 (2016)
Understanding the pathogenesis of disease is instrumental in delineating its progression mechanisms and for envisioning ways to counteract it. In the process, animal models represent invaluable tools for identifying disease-related loci and their gen
Externí odkaz:
https://doaj.org/article/68fd06aa606a4c9589615790e0eebd9c
Autor:
Mary L Kaldunski, Jennifer R Smith, Kent C Brodie, Jeffrey L De Pons, Wendy M Demos, Adam C Gibson, G Thomas Hayman, Logan Lamers, Stanley J F Laulederkind, Ketaki Thorat, Jyothi Thota, Marek A Tutaj, Monika Tutaj, Mahima Vedi, Shur-Jen Wang, Stacy Zacher, Melinda R Dwinell, Anne E Kwitek
Publikováno v:
GENETICS.
Rare diseases individually affect relatively few people, but as a group they impact considerable numbers of people. The Rat Genome Database (https://rgd.mcw.edu) is a knowledgebase that offers resources for rare disease research. This includes diseas
Autor:
Mahima Vedi, Jennifer R Smith, G Thomas Hayman, Monika Tutaj, Kent C Brodie, Jeffrey L De Pons, Wendy M Demos, Adam C Gibson, Mary L Kaldunski, Logan Lamers, Stanley J F Laulederkind, Jyothi Thota, Ketaki Thorat, Marek A Tutaj, Shur-Jen Wang, Stacy Zacher, Melinda R Dwinell, Anne E Kwitek
Publikováno v:
GENETICS. 224
The Rat Genome Database (RGD, https://rgd.mcw.edu) has evolved from simply a resource for rat genetic markers, maps, and genes, by adding multiple genomic data types and extensive disease and phenotype annotations and developing tools to effectively
Autor:
Shur-Jen Wang, Kent C. Brodie, Jeffrey L. De Pons, Wendy M. Demos, Adam C. Gibson, G. Thomas Hayman, Morgan L. Hill, Mary L. Kaldunski, Logan Lamers, Stanley J. F. Laulederkind, Harika S. Nalabolu, Jyothi Thota, Ketaki Thorat, Marek A. Tutaj, Monika Tutaj, Mahima Vedi, Stacy Zacher, Jennifer R. Smith, Melinda R. Dwinell, Anne E. Kwitek
Publikováno v:
Genes; Volume 13; Issue 12; Pages: 2304
The COVID-19 pandemic stemmed a parallel upsurge in the scientific literature about SARS-CoV-2 infection and its health burden. The Rat Genome Database (RGD) created a COVID-19 Disease Portal to leverage information from the scientific literature. In
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Autor:
Mahima Vedi, Harika S Nalabolu, Chien-Wei Lin, Matthew J Hoffman, Jennifer R Smith, Kent Brodie, Jeffrey L De Pons, Wendy M Demos, Adam C Gibson, G Thomas Hayman, Morgan L Hill, Mary L Kaldunski, Logan Lamers, Stanley J F Laulederkind, Ketaki Thorat, Jyothi Thota, Monika Tutaj, Marek A Tutaj, Shur-Jen Wang, Stacy Zacher, Melinda R Dwinell, Anne E Kwitek
Publikováno v:
Genetics. 220
Biological interpretation of a large amount of gene or protein data is complex. Ontology analysis tools are imperative in finding functional similarities through overrepresentation or enrichment of terms associated with the input gene or protein list
Publikováno v:
Proceedings (IEEE Int Conf Bioinformatics Biomed)
BIBM
BIBM
Complex diseases such as hypertension, cancer, and diabetes cause nearly 70% of the deaths in the U.S. and involve multiple genes and their interactions with environmental factors. Therefore, identification of genetic factors to understand and decrea
Autor:
G. Thomas Hayman, Matthew Hoffman, Jeff De Pons, Jyothi Thota, Melinda R. Dwinell, Santoshi L R Ellanki, Mary L. Kaldunski, Marek Tutaj, Monika Tutaj, Harika S Nalabolu, Shur-Jen Wang, Jennifer R. Smith, Stanley J. F. Laulederkind, Mary Shimoyama, Anne E. Kwitek
Publikováno v:
Nucleic Acids Research
Formed in late 1999, the Rat Genome Database (RGD, https://rgd.mcw.edu) will be 20 in 2020, the Year of the Rat. Because the laboratory rat, Rattus norvegicus, has been used as a model for complex human diseases such as cardiovascular disease, diabet