z-logo
open-access-imgOpen Access
Epi-Gene: An R-Package for Easy Pan-Genome Analysis
Author(s) -
Furqan Awan,
Muhammad Muddassir Ali,
Muhammad Hamid,
Muhammad Huzair Awan,
Muhammad Hassan Mushtaq,
Saeeda Kalsoom,
Muhammad Ijaz,
Khalid Mehmood,
Yongjie Liu
Publication year - 2021
Publication title -
biomed research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 126
eISSN - 2314-6141
pISSN - 2314-6133
DOI - 10.1155/2021/5585586
Subject(s) - genome , gene , phylogenetic tree , r package , computer science , computational biology , set (abstract data type) , multiple sequence alignment , biology , sequence alignment , genetics , programming language , peptide sequence
The main aim of this study was to develop a set of functions that can analyze the genomic data with less time consumption and memory. Epi-gene is presented as a solution to large sequence file handling and computational time problems. It uses less time and less programming skills in order to work with a large number of genomes. In the current study, some features of the Epi-gene R-package were described and illustrated by using a dataset of the 14 Aeromonas hydrophila genomes. The joining, relabeling, and conversion functions were also included in this package to handle the FASTA formatted sequences. To calculate the subsets of core genes, accessory genes, and unique genes, various Epi-gene functions have been used. Heat maps and phylogenetic genome trees were also constructed. This whole procedure was completed in less than 30 minutes. This package can only work on Windows operating systems. Different functions from other packages such as dplyr and ggtree were also used that were available in R computing environment.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom