AmyloGram
1.1Prediction of Amyloid Proteins
Overview
Predicts amyloid proteins 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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 67%
- References docs
- 11%
Downloads
Repository
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Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/michbur/amylogram on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.1Latest
- RR 3.4.0 released · 2017-04-21
- 1.02016-09-24
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-09-24
- Total releases
- 2 / 10 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.0.0
- Bundled data
- 257 KB / 3 files
- Download size
- 343 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("AmyloGram")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
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From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.