AmpGram
1.0Prediction of Antimicrobial Peptides
Overview
Predicts antimicrobial peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI. The AmpGram model is too large for CRAN and it has to be downloaded separately from the repository: https://github.com/michbur/AmpGramModel.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 80%
- References docs
- 13%
Downloads
Repository
Stars over time
Forks over time
Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/michbur/ampgram on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 1.0 median / 9 max
Test coverage
Line coverage
5%
Expression
7.0%
Tests / Examples
5.1% / 20% ex
Functions
12 5 exported
Complexity
2.3 avg / 9 max
Call network
12 nodes / 9 edges
Call graph
Open call graph →Lowest coverage
12 functions| Function | Cyclo | Coverage |
|---|---|---|
| AmpGram_gui exp | 1 | 0% |
| get_AMPs exp | 1 | 0% |
| install_AmpGramModel exp | 1 | 0% |
| pred2df exp | 1 | 0% |
| read_txt exp | 9 | 0% |
| calculate_statistics | 1 | 0% |
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2020-05-31
- Total releases
- 1 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 1.4 KB / 1 file
- Download size
- 60 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet