{bioseq.patterns} R# Documentation

bioseq.patterns


require(GCModeller);

#' Tools for sequence patterns
imports "bioseq.patterns" from "seqtoolkit";

Tools for sequence patterns

.NET clr type export
motif_match: MotifMatch

motif model sequence site matches result



.NET clr function exports
as.data.frame.sequencegraph SequenceGraph:

A machine learning vector model for motif analysis

as.data.frame.msamotif MSAMotif:
as.data.frame.motifmatch MotifMatch:

motif model sequence site matches result

plot.object any kind:
open.seedFile

open the sequence seed scan data file

pull.all_seeds

pull all of the sequence seed data from the given seed scan data file

read.meme_xml

read the xml motif data model output from the meme program

toPWM

convert the meme document to motif PWM model object

gibbs_scan

make a motif scan from the given sequence collection

view.sites

display the motif match sites on the given target sequence

read.motifs

read sequence motif json file.

read.scans

read the motif match scan result table file

top_sites

takes the top motif match sites by a set of the given filter threshold values

as.seq_graph

make the sequence graph embedding data of the given sequence collection

motif.find_sites

find the target loci match sites of the given sequence data based on the motif PWM model

palindrome.mirror

Search mirror palindrome sites for a given seed sequence

seeds

create all of the possible seed sequence fragments of the given alphabet base letters

motifString

convert the given sequence motif object as a regexp liked format pattern string for do motif matches

create.seeds

create the sequence seeds data from the given fasta sequence collection, and then save the generated seed data into the target seed data file

find_motifs

find possible motifs of the given sequence collection

Drawing the sequence logo just simply modelling this motif site from the clustal multiple sequence alignment.

scaffold.orthogonality

analyses orthogonality of two DNA-Origami scaffold strands. Multiple criteria For orthogonality Of the two sequences can be specified to determine the level of orthogonality.

split_match_source

split the motif matches result in parts by its gene source


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