Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Deborah A. Siegele"'
Autor:
Annie H. Lee, Rachit Gupta, Hong Nhi Nguyen, Isabella R. Schmitz, Deborah A. Siegele, Pushkar P. Lele
Publikováno v:
mBio, Vol 14, Iss 1 (2023)
ABSTRACT Bacterial infections that are difficult to eradicate are often treated by sequentially exposing the bacteria to different antibiotics. Although effective, this approach can give rise to epigenetic or other phenomena that may help some cells
Externí odkaz:
https://doaj.org/article/015a0c4b132f4ce4a0492d11a057d598
Autor:
Jolene Ramsey, Brenley McIntosh, Daniel Renfro, Suzanne A. Aleksander, Sandra LaBonte, Curtis Ross, Adrienne E. Zweifel, Nathan Liles, Shabnam Farrar, Jason J. Gill, Ivan Erill, Sarah Ades, Tanya Z. Berardini, Jennifer A. Bennett, Siobhan Brady, Robert Britton, Seth Carbon, Steven M. Caruso, Dave Clements, Ritu Dalia, Meredith Defelice, Erin L. Doyle, Iddo Friedberg, Susan M. R. Gurney, Lee Hughes, Allison Johnson, Jason M. Kowalski, Donghui Li, Ruth C. Lovering, Tamara L. Mans, Fiona McCarthy, Sean D. Moore, Rebecca Murphy, Timothy D. Paustian, Sarah Perdue, Celeste N. Peterson, Birgit M. Prüß, Margaret S. Saha, Robert R. Sheehy, John T. Tansey, Louise Temple, Alexander William Thorman, Saul Trevino, Amy Cheng Vollmer, Virginia Walbot, Joanne Willey, Deborah A. Siegele, James C. Hu
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10 (2021)
Experimental data about gene functions curated from the primary literature have enormous value for research scientists in understanding biology. Using the Gene Ontology (GO), manual curation by experts has provided an important resource for studying
Externí odkaz:
https://doaj.org/article/e1b8e037e5fb463fad2c0350fb2083e1
Autor:
Deborah A. Siegele, Sandra A. LaBonte, Peter I-Fan Wu, Marcus C. Chibucos, Suvarna Nandendla, Michelle G. Giglio, James C. Hu
Publikováno v:
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-8 (2019)
Abstract Background Microbial genetics has formed a foundation for understanding many aspects of biology. Systematic annotation that supports computational data mining should reveal further insights for microbes, microbiomes, and conserved functions
Externí odkaz:
https://doaj.org/article/6daf3d265be544e79a2fd6df458680f1
Autor:
Tamara L. Mans, Seth Carbon, Susan M. R. Gurney, Meredith Defelice, Larissa K. Temple, Ritu R. Dalia, Robert A. Britton, Birgit M. Prüß, Joanne M. Willey, Suzanne A. Aleksander, Jason J. Gill, Lee E. Hughes, Ruth C. Lovering, Virginia Walbot, Erin L. Doyle, Donghui Li, Shabnam Farrar, Sean D. Moore, Jolene Ramsey, Iddo Friedberg, Deborah A. Siegele, Tanya Z. Berardini, B. K. McIntosh, Alexander William Thorman, Nathan M. Liles, Margaret S. Saha, Ivan Erill, Allison Johnson, John T. Tansey, Celeste Peterson, Rebecca L. Murphy, Jason M. Kowalski, Daniel P. Renfro, Timothy D. Paustian, James C. Hu, Sarah E. Ades, Sandra A. LaBonte, Adrienne E. Zweifel, Curtis Ross, Fiona M. McCarthy, Steven M. Caruso, Sarah Perdue, Dave Clements, Amy Cheng Vollmer, Robert R. Sheehy, Jennifer A. Bennett, Siobhan M. Brady, Saul R. Trevino
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10 (2021)
PLoS Computational Biology, Vol 17, Iss 10, p e1009463 (2021)
PLoS computational biology, vol 17, iss 10
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 10, p e1009463 (2021)
PLoS computational biology, vol 17, iss 10
PLoS Computational Biology
Experimental data about gene functions curated from the primary literature have enormous value for research scientists in understanding biology. Using the Gene Ontology (GO), manual curation by experts has provided an important resource for studying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2136d9c79b7979202d798ea2c18c708e
https://hdl.handle.net/10919/109480
https://hdl.handle.net/10919/109480
Autor:
Marcus C. Chibucos, Suvarna Nandendla, Peter I-Fan Wu, Michelle G. Giglio, James C. Hu, Sandra A. LaBonte, Deborah A. Siegele
Publikováno v:
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-8 (2019)
Journal of Biomedical Semantics
Journal of Biomedical Semantics
Background Microbial genetics has formed a foundation for understanding many aspects of biology. Systematic annotation that supports computational data mining should reveal further insights for microbes, microbiomes, and conserved functions beyond mi
Autor:
Shoshannah Ball, Rebecca Tauber, Marcus C. Chibucos, Pascale Gaudet, Elizabeth T. Hobbs, Elvira Mitraka, Dustin Olley, Suvarna Nadendla, Christopher J. Mungall, Ivan Erill, Deborah A. Siegele, Michelle G. Giglio, James C. Hu, James B. Munro, Lynn M. Schriml
Publikováno v:
Nucleic Acids Research
Nucleic acids research, vol 47, iss D1
Giglio, Michelle; Tauber, Rebecca; Nadendla, Suvarna; Munro, James; Olley, Dustin; Ball, Shoshannah; et al.(2019). ECO, the Evidence & Conclusion Ontology: community standard for evidence information.. Nucleic acids research, 47(D1), D1186-D1194. doi: 10.1093/nar/gky1036. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8r16010f
Nucleic acids research, vol 47, iss D1
Giglio, Michelle; Tauber, Rebecca; Nadendla, Suvarna; Munro, James; Olley, Dustin; Ball, Shoshannah; et al.(2019). ECO, the Evidence & Conclusion Ontology: community standard for evidence information.. Nucleic acids research, 47(D1), D1186-D1194. doi: 10.1093/nar/gky1036. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8r16010f
The Evidence and Conclusion Ontology (ECO) contains terms (classes) that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence that supports biological assertions (e.g. gene product
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 11, Iss 1 (2021)
G3: Genes|Genomes|Genetics
G3: Genes|Genomes|Genetics
Despite the demonstrated success of genome-wide genetic screens and chemical genomics studies at predicting functions for genes of unknown function or predicting new functions for well-characterized genes, their potential to provide insights into gen
Publikováno v:
Antimicrob Agents Chemother
Bacterial membrane potential is difficult to measure using classical electrophysiology techniques due to the small cell size and the presence of the peptidoglycan cell wall. Instead, chemical probes are often used to study membrane potential changes
Despite the demonstrated success of genome-wide genetic screens and chemical genomics studies at predicting functions for genes of unknown function or predicting new functions for well-characterized genes, their potential to provide insights into gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e90ad3365fae882f3d83bba956ea32fa
https://doi.org/10.1101/2020.07.16.206243
https://doi.org/10.1101/2020.07.16.206243
Various microbial high-throughput phenotyping techniques have been vastly conducted to infer functions of genes, generating large numbers of valuable datasets whose potential in providing insights to characterize genes hasn’t been fully exploited.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d151b8c5eae160c3c0860813c54d549
https://doi.org/10.1101/2020.06.29.177659
https://doi.org/10.1101/2020.06.29.177659