README.md

In Deemolotus/gscVisualizer: Visualize The Difference among Gene Sequences

gscVisualizer

Description

gscVisualizer is an R package to comparing the similarity between multiple RNA or DNA sequences. This tool can use to compare the difference between wild type gene (as an reference) and mutated type of genes. This package can also be used for computing difference among multiple dot-bracket form RNA sequences. A plot can also be generated to make data easier to look at.

Installation

To install the latest version of the package:

require("devtools")
devtools::install_github("Deemolotus/gscVisualizer", build_vignettes = TRUE)
library("gscVisualizer")

To run the ShinyApp:

gscVisualizer::runGscVisualizer()

Overview

ls("package:gscVisualizer")

gscVisualizer contains 7 functions to compute the difference among genes. The seqCompareAsInput function will takes in numbers of gene sequences as arguments and compute the difference between each gene sequence with the reference gene. seqCompareInPair function will takes in number if gene sequences as argument and calculate the difference between each pair of genes. seqCompareAsFile function will takes in a .fa file and convert the .fa file to dataframes, then do the difference comparison between every gene sequence with the reference sequence. seqCompareAsFilePair function do the similar thing as seqCompareInpair but get all data from .fa file instead of input arguments. dotComp function will takes in two dot-bracket sequence and then compute the difference between two RNA structure. checkSeq function will takes in one sequence and make sure the dot-bracket seequence is valid.

An overview of the package is illustrated below:

Alternatively, the Shiny app can also be used for generating the final result wzxhzdk:3

The package tree structure is provide below wzxhzdk:4 ## Tutorials For tutorials and plot interpretation, refer to the vignette: wzxhzdk:5 gscVisualizer introduction: instruction for the shiny app: ## Citation for Package wzxhzdk:6 Tan, Z. (2020) gscVisualizer (Gene sequence comparison visualizer): an R package for comparing the difference in gene sequences, then visualize the result by plotting. URL ## Contributions The author of this package is Zhiwen Tan. All of ***seqCompareAsInput***, ***seqCompareInPair***, ***seqCompareAsFile*** and ***seqCompareAsFilePair*** functions makes use of s2c and translate functions from ***seqinr*** R package to convert the DNA or RNA sequences to amino acid. Those two functions also makes use of needles function from ***NameNeedle*** R package to calculate the difference between different gene sequences. The ***NameNeedle*** R package is also been used in ***dotComp*** function. The ***seqCompareAsFile*** and ***seqCompareAsFilePair*** function also makes use of readRNAStringSet function from ***Biostrings*** to extract information from .fa file to make a list of dataframes. The ***plotter*** function makes use of the ***graphic*** R package. ## References Charif D, Lobry J (2007). “SeqinR 1.0-2: a contributed package to the R project for statistical computing devoted to biological sequences retrieval and analysis.” In Bastolla U, Porto M, Roman H, Vendruscolo M (eds.), Structural approaches to sequence evolution: Molecules, networks, populations, series Biological and Medical Physics, Biomedical Engineering, 207-232. Springer Verlag, New York. ISBN : 978-3-540-35305-8. Kevin R. Coombes (2020). NameNeedle: Using Needleman-Wunsch to Match Sample Names. R package version 1.2.6/r51. Pagès H, Aboyoun P, Gentleman R, DebRoy S (2020). Biostrings: Efficient manipulation of biological strings. R package version 2.58.0, Wickham, H. and Bryan, J. (2019). *R Packages* (2nd edition). Newton, Massachusetts: O’Reilly Media. Kozomara, A., & Griffiths-Jones, S. (2011). miRBase: integrating microRNA annotation and deep-sequencing data. Nucleic acids research, 39(Database issue), D152–D157. Steipe B., ABC project (.utility 4.07) A Bioinformatics Course: Applied Bioinformatics Zhiwen. T, Sijie Xu (2020) miRNA Motif Analysis ## Acknowledgements This package was developed for BCB410H: Applied Bioinformatics, University of Toronto, Toronto, CANADA.

Deemolotus/gscVisualizer documentation built on Dec. 31, 2020, 11:55 a.m.