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ampir
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]
[Scholar Profile | Author Map]
All associated links for this package
https://ampir.marine-omics.net/ . 10.32614/CRAN.package.ampir . https://github.com/Legana/ampir . ampir results . ampir.pdf . Introduction to ampir . ampir_1.1.0.tar.gz . ampir_1.1.0.zip . ampir_1.1.0.zip . ampir_1.1.0.zip . ampir_1.1.0.tgz . ampir_1.1.0.tgz . ampir_1.1.0.tgz . ampir_1.1.0.tgz . ampir_1.1.0.tgz . ampir_1.1.0.tgz . ampir archive . https://CRAN.R-project.org/package=ampir .
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 30 Mar. 2025.
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Other R packages that ampir depends,
imports, suggests or enhances
Complete documentation for ampir
Functions, R codes and Examples using
the ampir R package
Some associated functions: aaseq_is_valid . calc_amphiphilicity . calc_hydrophobicity . calc_mw . calc_net_charge . calc_pI . calc_pseudo_comp . calculate_features . chunk_rows . df_to_faa . predict_amps . read_faa . remove_nonstandard_aa . remove_stop_codon .
Some associated R codes: RcppExports.R . aaseq_is_valid.R . calc_amphiphilicity.R . calc_hydrophobicity.R . calc_mw.R . calc_net_charge.R . calc_pI.R . calc_pseudo_comp.R . calculate_features.R . chunk_rows.R . cpp_functions.R . df_to_faa.R . predict_amps.R . read_faa.R . remove_nonstandard_aa.R . remove_stop_codon.R . Full ampir package functions and examples
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