1 to 6 of 6 Results
Oct 8, 2024
Goult, Elizabeth; Barrero Guevara, Laura Andrea; Briga, Michael; Domenech de Cellès, Matthieu, 2024, "Data and codes from "Estimating the optimal age for infant measles vaccination"", https://doi.org/10.17617/3.50X626, Edmond, V1
Data and R codes associated with the manuscript "Estimating the optimal age for infant measles vaccination". |
Jul 16, 2024
Kramer, Sarah C, 2022, "Code for "Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for disease control"", https://doi.org/10.17617/3.TBOPCK, Edmond, V3
Code to infer the strength and duration of interactions between flu and RSV |
May 15, 2024
Domenech de Celles, Matthieu; Rohani, Pejman, 2024, "Data and R codes from "Pertussis vaccines, epidemiology and evolution"", https://doi.org/10.17617/3.A1KMUB, Edmond, V1
Data and R codes from the review article, "Pertussis vaccines, epidemiology and evolution", published in Nature Reviews Microbiology. |
Mar 26, 2024
Awad, Sherine; Valleriani, Angelo; Chiarugi, Davide, 2024, "A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length.", https://doi.org/10.17617/3.H7OPIB, Edmond, V1
Ribofilio is a software package that estimates the drop-off rate of ribosomes. It is a python package that takes as a required input the reference genome and the footprint. If the mRNA reads are available, this can be used as an optional parameter for normalization. The tool uses... |
Aug 28, 2023
Barrero Guevara, Laura Andrea; Goult, Elizabeth; Dayanne Rodriguez; Luis Jorge Hernandez; Kaufer, Benedikt B.; Kurth, Tobias; Domenech de Cellès, Matthieu, 2023, "Data and codes from "Delineating the seasonality of varicella and its association with climate in the tropical country of Colombia"", https://doi.org/10.17617/3.ZCMEKJ, Edmond, V1
Data and R codes associated with the manuscript "Delineating the seasonality of varicella and its association with climate in the tropical country of Colombia" |
Dec 6, 2021
Domenech de Cellès, Matthieu; Goult, Elizabeth; Casalegno, Jean-Sébastien; Kramer, Sarah C., 2021, "Codes from: "The pitfalls of inferring virus-virus interactions from co-detection prevalence data: Application to influenza and SARS-CoV-2"", https://doi.org/10.17617/3.8k, Edmond, V1
R codes to reproduce the results presented in the paper "The pitfalls of inferring virus-virus interactions from co-detection prevalence data: Application to influenza and SARS-CoV-2" |