Zobrazeno 1 - 10
of 117
pro vyhledávání: '"James H. Kaufman"'
Autor:
Gowri Nayar, Ignacio Terrizzano, Ed Seabolt, Akshay Agarwal, Christina Boucher, Jaime Ruiz, Ilya B. Slizovskiy, James H. Kaufman, Noelle R. Noyes
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Horizontal gene transfer mediated by conjugation is considered an important evolutionary mechanism of bacteria. It allows organisms to quickly evolve new phenotypic properties including antimicrobial resistance (AMR) and virulence. The frequency of c
Externí odkaz:
https://doaj.org/article/e92efee6dede40778680f04fcac97b5b
Autor:
Gowri Nayar, Edward E. Seabolt, Mark Kunitomi, Akshay Agarwal, Kristen L. Beck, Vandana Mukherjee, James H. Kaufman
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Rapid tests for active SARS-CoV-2 infections rely on reverse transcription polymerase chain reaction (RT-PCR). RT-PCR uses reverse transcription of RNA into complementary DNA (cDNA) and amplification of specific DNA (primer and probe) target
Externí odkaz:
https://doaj.org/article/b61c34dcf78a47d6ac990fe5517c9373
Autor:
Laura-Jayne Gardiner, Niina Haiminen, Filippo Utro, Laxmi Parida, Ed Seabolt, Ritesh Krishna, James H. Kaufman
Publikováno v:
Microbiome, Vol 9, Iss 1, Pp 1-12 (2021)
Abstract Background Widespread bioinformatic resource development generates a constantly evolving and abundant landscape of workflows and software. For analysis of the microbiome, workflows typically begin with taxonomic classification of the microor
Externí odkaz:
https://doaj.org/article/2bf13594dff849329d5943a510142310
Autor:
Vishrawas Gopalakrishnan, Sayali Pethe, Sarah Kefayati, Raman Srinivasan, Paul Hake, Ajay Deshpande, Xuan Liu, Etter Hoang, Marbelly Davila, Simone Bianco, James H. Kaufman
Publikováno v:
Epidemics, Vol 37, Iss , Pp 100510- (2021)
Importance:: Assumption of a well-mixed population during modeling is often erroneously made without due analysis of its validity. Ignoring the importance of the geo-spatial granularity at which the data is collected could have significant implicatio
Externí odkaz:
https://doaj.org/article/dabc773d12c84cf889bcd0a0257096ca
Autor:
Akshay Agarwal, Kristen L. Beck, Sara Capponi, Mark Kunitomi, Gowri Nayar, Edward Seabolt, Gandhar Mahadeshwar, Simone Bianco, Vandana Mukherjee, James H. Kaufman
Publikováno v:
Viruses, Vol 14, Iss 8, p 1837 (2022)
Epitopes are short amino acid sequences that define the antigen signature to which an antibody or T cell receptor binds. In light of the current pandemic, epitope analysis and prediction are paramount to improving serological testing and developing v
Externí odkaz:
https://doaj.org/article/4981dd0cc5fb49368f76070f0ab53537
Autor:
Filippo Utro, Niina Haiminen, Enrico Siragusa, Laura-Jayne Gardiner, Ed Seabolt, Ritesh Krishna, James H. Kaufman, Laxmi Parida
Publikováno v:
iScience, Vol 23, Iss 4, Pp - (2020)
Summary: Increasingly available microbial reference data allow interpreting the composition and function of previously uncharacterized microbial communities in detail, via high-throughput sequencing analysis. However, efficient methods for read class
Externí odkaz:
https://doaj.org/article/3dbecda796664f1e947437d45d3d1f3e
Autor:
Kristen L. Beck, Edward Seabolt, Akshay Agarwal, Gowri Nayar, Simone Bianco, Harsha Krishnareddy, Timothy A. Ngo, Mark Kunitomi, Vandana Mukherjee, James H. Kaufman
Publikováno v:
Viruses, Vol 13, Iss 12, p 2426 (2021)
SARS-CoV-2 genomic sequencing efforts have scaled dramatically to address the current global pandemic and aid public health. However, autonomous genome annotation of SARS-CoV-2 genes, proteins, and domains is not readily accomplished by existing meth
Externí odkaz:
https://doaj.org/article/88041c92a4e64ff68aa635a2d5e4ac10
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0137482 (2015)
This paper uses methods drawn from physics to study the life cycle of viruses. The paper analyzes a model of viral infection and evolution using the "grand canonical ensemble" and formalisms from statistical mechanics and thermodynamics. Using this a
Externí odkaz:
https://doaj.org/article/d3eb15604b77469d99432c3fea9a0c17
Autor:
Lauren Lacorcia, Kevin D. Woolard, Jerome Naar, Ilze Matīse VanHoutan, Joe Bielitzki, Karin Allenspach, Karyl J. Hurley, James H. Kaufman, Robert H. Poppenga, Geoffrey S. Hebbard, Stanley L. Marks, Bart C. Weimer, Caroline S Mansfield, Derek Lulham
Publikováno v:
Journal of the American Veterinary Medical Association. 259(2)
CASE DESCRIPTION In Latvia in 2014, acquired idiopathic megaesophagus (AIME) was observed in increased numbers of dogs that consumed varieties of 1 brand of dog food. Within 2 years, 253 dogs were affected. In Australia in November 2017, 6 working do
Autor:
Stefan Edlund, Emily Nixon, Judith V. Douglas, Taras Günther, Matthias Filter, James H. Kaufman, Simone Bianco, Kun Maggie Hu, Nereyda Lucia Sevilla, Tekla Engelhardt, Ahmad Swaid
Publikováno v:
Health Security
Douglas, J, Bianco, S, Edlund, S, Engelhardt, T, Filter, M, Günther, T, Hu, K, Nixon, E J, Sevilla, N, Swaid, A & Kaufman, J 2019, ' STEM : An open source tool for disease modeling ', Health Security, vol. 17, no. 4, pp. 291-306 . https://doi.org/10.1089/hs.2019.0018
Douglas, J, Bianco, S, Edlund, S, Engelhardt, T, Filter, M, Günther, T, Hu, K, Nixon, E J, Sevilla, N, Swaid, A & Kaufman, J 2019, ' STEM : An open source tool for disease modeling ', Health Security, vol. 17, no. 4, pp. 291-306 . https://doi.org/10.1089/hs.2019.0018
The Spatiotemporal Epidemiologic Modeler (STEM) is an open source software project supported by the Eclipse Foundation and used by a global community of researchers and public health officials working to track and, when possible, control outbreaks of