The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
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MSA2dist calculates pairwise distances between all sequences of a DNAStringSet or a AAStringSet using a custom score matrix and conducts codon based analysis. It uses scoring matrices to be used in these pairwise distance calcualtions which can be adapted to any scoring for DNA or AA characters. E.g. by using literal distances MSA2dist calculates pairwise IUPAC distances.
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MSA2dist calculates pairwise distances between all sequences of a DNAStringSet or a AAStringSet using a custom score matrix and conducts codon based analysis. It uses scoring matrices to be used in these pairwise distance calculations which can be adapted to any scoring for DNA or AA characters. E.g. by using literal distances MSA2dist calculates pairwise IUPAC distances.
library(MSA2dist)
# Load example data
data(hiv, package="MSA2dist")
# 1. Calculate pairwise DNA distances (K80 model)
dna_dist <- dnastring2dist(hiv, model="K80")
# 2. Translate to Amino Acids and calculate Grantham distances
aa_seqs <- cds2aa(hiv)
aa_dist <- aastring2dist(aa_seqs, score=granthamMatrix())
# 3. Calculate synonymous/nonsynonymous substitutions (MYN model)
kaks_myn <- dnastring2kaks(hiv, model="MYN")
Note: Input is a pre-aligned DNAStringSet object, and outputs are distance matrices and a data frame of Ka/Ks values.
Biostrings::AAStringSet using custom scoring matrices like Grantham's distance (aastring2dist, granthamMatrix).Biostrings::DNAStringSet using evolutionary models (e.g., "K80") or literal IUPAC distances for diploid phasing (dnastring2dist).dnastring2kaks).ape::dist.dna instead).mafft, muscle, or the R package msa first).Biostrings::DNAStringSet or Biostrings::AAStringSet.cds2aa(shorten=TRUE).dnastring2dist (e.g., "K80", "IUPAC") or dnastring2kaks (e.g., "Li", "NG86", "MYN", "YN").aastring2dist (e.g., granthamMatrix()).cds2aa.cds2aa.Biostrings::getGeneticCode("2")) in cds2aa.dnastring2dist or dnastring2kaks.cds2aa(shorten=TRUE) to handle sequences whose lengths are not multiples of three before translating.dnastring2dist(model="IUPAC") to directly calculate distances on IUPAC nucleotide ambiguity encoded sequences (e.g., from diploid individuals).shorten=FALSE. Fix: Set shorten=TRUE in cds2aa().DNAStringSet directly to ape or seqinr. Fix: Convert formats using dnastring2dnabin() or dnastring2aln().ape::dist.dna) and neighbor-joining trees.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
日本語の概要は準備中です。原文の説明を表示しています。
This tool uses the label-tree function from HyPhy to annotate a phylogenetic tree. It allows users to select a subset of leaves using either a regular expression or a list of sequence names, and then apply a specified label to these selecte
日本語の概要は準備中です。原文の説明を表示しています。
This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, En
日本語の概要は準備中です。原文の説明を表示しています。
apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
日本語の概要は準備中です。原文の説明を表示しています。
ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).
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AUCell allows to identify cells with active gene sets (e.g. signatures, gene modules...) in single-cell RNA-seq data. AUCell uses the "Area Under the Curve" (AUC) to calculate whether a critical subset of the input gene set is enriched with
日本語の概要は準備中です。原文の説明を表示しています。