Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ketaki Thorat"'
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, Vol 13, Iss 12, p 2304 (2022)
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
Externí odkaz:
https://doaj.org/article/bc3e1a3a98a0456d8ebce0de390db3fd
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:
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