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BacSeq: A User-Friendly Automated Pipeline for Whole-Genome Sequence Analysis of Bacterial Genomes
Whole-genome sequencing (WGS) of bacterial pathogens is widely conducted in microbiological, medical, and clinical research to explore genetic insights that could impact clinical treatment and molecular epidemiology. However, analyzing WGS data of bacteria can pose challenges for microbiologists, cl...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385524/ https://www.ncbi.nlm.nih.gov/pubmed/37512941 http://dx.doi.org/10.3390/microorganisms11071769 |
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author | Chukamnerd, Arnon Jeenkeawpiam, Kongpop Chusri, Sarunyou Pomwised, Rattanaruji Singkhamanan, Kamonnut Surachat, Komwit |
author_facet | Chukamnerd, Arnon Jeenkeawpiam, Kongpop Chusri, Sarunyou Pomwised, Rattanaruji Singkhamanan, Kamonnut Surachat, Komwit |
author_sort | Chukamnerd, Arnon |
collection | PubMed |
description | Whole-genome sequencing (WGS) of bacterial pathogens is widely conducted in microbiological, medical, and clinical research to explore genetic insights that could impact clinical treatment and molecular epidemiology. However, analyzing WGS data of bacteria can pose challenges for microbiologists, clinicians, and researchers, as it requires the application of several bioinformatics pipelines to extract genetic information from raw data. In this paper, we present BacSeq, an automated bioinformatic pipeline for the analysis of next-generation sequencing data of bacterial genomes. BacSeq enables the assembly, annotation, and identification of crucial genes responsible for multidrug resistance, virulence factors, and plasmids. Additionally, the pipeline integrates comparative analysis among isolates, offering phylogenetic tree analysis and identification of single-nucleotide polymorphisms (SNPs). To facilitate easy analysis in a single step and support the processing of multiple isolates, BacSeq provides a graphical user interface (GUI) based on the JAVA platform. It is designed to cater to users without extensive bioinformatics skills. |
format | Online Article Text |
id | pubmed-10385524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103855242023-07-30 BacSeq: A User-Friendly Automated Pipeline for Whole-Genome Sequence Analysis of Bacterial Genomes Chukamnerd, Arnon Jeenkeawpiam, Kongpop Chusri, Sarunyou Pomwised, Rattanaruji Singkhamanan, Kamonnut Surachat, Komwit Microorganisms Article Whole-genome sequencing (WGS) of bacterial pathogens is widely conducted in microbiological, medical, and clinical research to explore genetic insights that could impact clinical treatment and molecular epidemiology. However, analyzing WGS data of bacteria can pose challenges for microbiologists, clinicians, and researchers, as it requires the application of several bioinformatics pipelines to extract genetic information from raw data. In this paper, we present BacSeq, an automated bioinformatic pipeline for the analysis of next-generation sequencing data of bacterial genomes. BacSeq enables the assembly, annotation, and identification of crucial genes responsible for multidrug resistance, virulence factors, and plasmids. Additionally, the pipeline integrates comparative analysis among isolates, offering phylogenetic tree analysis and identification of single-nucleotide polymorphisms (SNPs). To facilitate easy analysis in a single step and support the processing of multiple isolates, BacSeq provides a graphical user interface (GUI) based on the JAVA platform. It is designed to cater to users without extensive bioinformatics skills. MDPI 2023-07-06 /pmc/articles/PMC10385524/ /pubmed/37512941 http://dx.doi.org/10.3390/microorganisms11071769 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chukamnerd, Arnon Jeenkeawpiam, Kongpop Chusri, Sarunyou Pomwised, Rattanaruji Singkhamanan, Kamonnut Surachat, Komwit BacSeq: A User-Friendly Automated Pipeline for Whole-Genome Sequence Analysis of Bacterial Genomes |
title | BacSeq: A User-Friendly Automated Pipeline for Whole-Genome Sequence Analysis of Bacterial Genomes |
title_full | BacSeq: A User-Friendly Automated Pipeline for Whole-Genome Sequence Analysis of Bacterial Genomes |
title_fullStr | BacSeq: A User-Friendly Automated Pipeline for Whole-Genome Sequence Analysis of Bacterial Genomes |
title_full_unstemmed | BacSeq: A User-Friendly Automated Pipeline for Whole-Genome Sequence Analysis of Bacterial Genomes |
title_short | BacSeq: A User-Friendly Automated Pipeline for Whole-Genome Sequence Analysis of Bacterial Genomes |
title_sort | bacseq: a user-friendly automated pipeline for whole-genome sequence analysis of bacterial genomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385524/ https://www.ncbi.nlm.nih.gov/pubmed/37512941 http://dx.doi.org/10.3390/microorganisms11071769 |
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