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aphid

Analysis with Profile Hidden Markov Models

v1.3.6 · Jan 22, 2026 · GPL-3

Description

Designed for the development and application of hidden Markov models and profile HMMs for biological sequence analysis. Contains functions for multiple and pairwise sequence alignment, model construction and parameter optimization, file import/export, implementation of the forward, backward and Viterbi algorithms for conditional sequence probabilities, tree-based sequence weighting, and sequence simulation. Features a wide variety of potential applications including database searching, gene-finding and annotation, phylogenetic analysis and sequence classification. Based on the models and algorithms described in Durbin et al (1998, ISBN: 9780521629713).

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OK r-devel-linux-x86_64-debian-clang

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OK r-devel-linux-x86_64-debian-gcc

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dependencies in R code

Namespace in Imports field not imported from: ‘qpdf’
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NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘qpdf’
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OK r-devel-macos-arm64

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OK r-devel-windows-x86_64

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OK r-oldrel-macos-arm64

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OK r-oldrel-windows-x86_64

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OK r-release-linux-x86_64

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘qpdf’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘qpdf’
  All declared Imports should be used.

Reverse Dependencies (2)

imports

Dependency Network

Dependencies Reverse dependencies openssl kmer qpdf Rcpp debar insect aphid

Version History

new 1.3.6 Mar 9, 2026