knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
You can install the development version of Rbosome from GitHub with:
# install.packages("devtools") devtools::install_github("rforbiodatascience22/group_3_package")
library(Rbosome)
Rbosome package delivers an easy way to work with the central dogma of molecular biology.
It provides basic functions to:
create a random DNA strand
transform DNA to RNA
transform RNA to a list of codons
translate RNA codons to letter code of amino acids
generate an amino acids' abundance plot
set.seed(26) DNA_seq <- ATGC(90) DNA_seq
RNA_seq <- DNA_to_RNA(DNA_seq) RNA_seq
codons <- rna_transform(RNA_seq) codons
AA_seq = translate(codons) AA_seq
aa_abundance_plot(AA_seq)
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