Other packages > Find by keyword >

ampir  

Predict Antimicrobial Peptides
View on CRAN: Click here


Download and install ampir package within the R console
Install from CRAN:
install.packages("ampir")

Install from Github:
library("remotes")
install_github("cran/ampir")

Install by package version:
library("remotes")
install_version("ampir", "1.1.0")



Attach the package and use:
library("ampir")
Maintained by
Legana Fingerhut
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-06
Latest Update: 2021-06-29
Description:
A toolkit to predict antimicrobial peptides from protein sequences on a genome-wide scale. It incorporates two support vector machine models ("precursor" and "mature") trained on publicly available antimicrobial peptide data using calculated physico-chemical and compositional sequence properties described in Meher et al. (2017) . In order to support genome-wide analyses, these models are designed to accept any type of protein as input and calculation of compositional properties has been optimised for high-throughput use. For best results it is important to select the model that accurately represents your sequence type: for full length proteins, it is recommended to use the default "precursor" model. The alternative, "mature", model is best suited for mature peptide sequences that represent the final antimicrobial peptide sequence after post-translational processing. For details see Fingerhut et al. (2020) . The 'ampir' package is also available via a Shiny based GUI at .
How to cite:
Legana Fingerhut (2019). ampir: Predict Antimicrobial Peptides. R package version 1.1.0, https://cran.r-project.org/web/packages/ampir. Accessed 15 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:17), 0.1.0 (2019-12-06 10:50), 1.0.0 (2020-05-11 16:30)
Other packages that cited ampir R package
View ampir citation profile
Other R packages that ampir depends, imports, suggests or enhances
Complete documentation for ampir
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

CTTinShiny  
Shiny Interface for the CTT Package
A Shiny interface developed in close coordination with the CTT package, providing a GUI that guides ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
functClust  
Functional Clustering of Redundant Components of a System
Cluster together the components that make up an interactivesystem on the basis of their functional r ...
Download / Learn more Package Citations See dependency  
AFR  
Toolkit for Regression Analysis of Kazakhstan Banking Sector Data
Tool is created for regression, prediction and forecast analysis of macroeconomic and credit data. ...
Download / Learn more Package Citations See dependency  
objectSignals  
Observer Pattern for S4
A mutable Signal object can report changes to its state, clients could register functions so that t ...
Download / Learn more Package Citations See dependency  
SiER  
Signal Extraction Approach for Sparse Multivariate Response Regression
Methods for regression with high-dimensional predictors andunivariate or maltivariate response varia ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA