|
KMID : 1132720220200010003
|
|
Genomics & Informatics
2022 Volume.20 No. 1 p.3 ~ p.3
|
|
|
Whole-genome sequence analysis through online web interfaces: a review
|
|
Gunasekara A. W. A. C. W. R.
Rajapaksha L. G. T. G.
Tung T. L.
|
|
|
Abstract
|
|
|
|
The recent development of whole-genome sequencing technologies paved the way for understanding the genomes of microorganisms. Every whole-genome sequencing (WGS) project requires a considerable cost and a massive effort to address the questions at hand. The final step of WGS is data analysis. The analysis of whole-genome sequence is dependent on highly sophisticated bioinformatics tools that the research personal have to buy. However, many laboratories and research institutions do not have the bioinformatics capabilities to analyze the genomic data and therefore, are unable to take maximum advantage of whole-genome sequencing. In this aspect, this study provides a guide for research personals on a set of bioinformatics tools available online that can be used to analyze whole-genome sequence data of bacterial genomes. The web interfaces described here have many advantages and, in most cases exempting the need for costly analysis tools and intensive computing resources.
|
|
|
KEYWORD
|
|
|
average nucleotide identitys, online web servers, single nucleotide polymorphisms, virulence factors, whole-genome sequencing
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
 
|