Search research articles
Contact Us
Filters
Showing results (1-10 of 7) with videos related to
Page
of 1
Sort By:
Nature Communications
|
June 15, 2018
Lipid vesicles chaperone an encapsulated RNA aptamer
Ranajay Saha, Samuel Verbanic, Irene A Chen
Microbiology Spectrum
|
April 18, 2022
The Chronic Wound Phageome: Phage Diversity and Associations with Wounds and Healing Outcomes
Samuel Verbanic, John M Deacon, Irene A Chen
Journal of the Royal Statistical Society. Series C, Applied Statistics
|
July 13, 2023
A Bayesian nonparametric analysis for zero-inflated multivariate count data with application to microbiome study
Kurtis Shuler, Samuel Verbanic, Irene A Chen, et al.
Physical Chemistry Chemical Physics : PCCP
|
January 23, 2020
High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications
Celia Blanco, Samuel Verbanic, Burckhard Seelig, et al.
Journal of Molecular Evolution
|
June 13, 2020
EasyDIVER: A Pipeline for Assembling and Counting High-Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Peptides
Celia Blanco, Samuel Verbanic, Burckhard Seelig, et al.
BMC Microbiology
|
September 7, 2019
Improved single-swab sample preparation for recovering bacterial and phage DNA from human skin and wound microbiomes
Samuel Verbanic, Colin Y Kim, John M Deacon, et al.
NPJ Biofilms and Microbiomes
|
May 3, 2020
Microbial predictors of healing and short-term effect of debridement on the microbiome of chronic wounds
Samuel Verbanic, Yuning Shen, Juhee Lee, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 7) with videos related to
Sort By:
Page
of 1
Nature Communications
|
June 15, 2018
Lipid vesicles chaperone an encapsulated RNA aptamer
Ranajay Saha, Samuel Verbanic, Irene A Chen
Microbiology Spectrum
|
April 18, 2022
The Chronic Wound Phageome: Phage Diversity and Associations with Wounds and Healing Outcomes
Samuel Verbanic, John M Deacon, Irene A Chen
Journal of the Royal Statistical Society. Series C, Applied Statistics
|
July 13, 2023
A Bayesian nonparametric analysis for zero-inflated multivariate count data with application to microbiome study
Kurtis Shuler, Samuel Verbanic, Irene A Chen, et al.
Physical Chemistry Chemical Physics : PCCP
|
January 23, 2020
High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications
Celia Blanco, Samuel Verbanic, Burckhard Seelig, et al.
Journal of Molecular Evolution
|
June 13, 2020
EasyDIVER: A Pipeline for Assembling and Counting High-Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Peptides
Celia Blanco, Samuel Verbanic, Burckhard Seelig, et al.
BMC Microbiology
|
September 7, 2019
Improved single-swab sample preparation for recovering bacterial and phage DNA from human skin and wound microbiomes
Samuel Verbanic, Colin Y Kim, John M Deacon, et al.
NPJ Biofilms and Microbiomes
|
May 3, 2020
Microbial predictors of healing and short-term effect of debridement on the microbiome of chronic wounds
Samuel Verbanic, Yuning Shen, Juhee Lee, et al.
Page
of 1