BacSeq: A User-Friendly Automated Pipeline for Whole-Genome Sequence Analysis of Bacterial Genomes

被引:11
|
作者
Chukamnerd, Arnon [1 ]
Jeenkeawpiam, Kongpop [2 ]
Chusri, Sarunyou [1 ]
Pomwised, Rattanaruji [3 ]
Singkhamanan, Kamonnut [2 ]
Surachat, Komwit [2 ,4 ,5 ]
机构
[1] Prince Songkla Univ, Fac Med, Dept Internal Med, Div Infect Dis, Hat Yai 90110, Thailand
[2] Prince Songkla Univ, Fac Med, Dept Biomed Sci & Biomed Engn, Hat Yai 90110, Thailand
[3] Prince Songkla Univ, Fac Sci, Div Biol Sci, Hat Yai 90110, Thailand
[4] Prince Songkla Univ, Fac Med, Translat Med Res Ctr, Hat Yai 90110, Thailand
[5] Prince Songkla Univ, Fac Sci, Div Computat Sci, Hat Yai 90110, Thailand
关键词
whole-genome sequencing; BacSeq; assembly; annotation; bioinformatics; ACINETOBACTER-BAUMANNII; PAN-GENOME; TOOL; RESISTANCE; EVOLUTION; DATABASE; GENES;
D O I
10.3390/microorganisms11071769
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] BacPipe: A Rapid, User-Friendly Whole-Genome Sequencing Pipeline for Clinical Diagnostic Bacteriology
    Xavier, Basil B.
    Mysara, Mohamed
    Bolzan, Mattia
    Ribeiro-Goncalves, Bruno
    Alako, Blaise T. F.
    Harrison, Peter
    Lammens, Christine
    Kumar-Singh, Samir
    Goossens, Herman
    Carrico, Joao A.
    Cochrane, Guy
    Malhotra-Kumar, Surbhi
    ISCIENCE, 2020, 23 (01)
  • [2] TORMES: an automated pipeline for whole bacterial genome analysis
    Quijada, Narciso M.
    Rodriguez-Lazaro, David
    Maria Eiros, Jose
    Hernandez, Marta
    BIOINFORMATICS, 2019, 35 (21) : 4207 - 4212
  • [3] MEGAnnotator: a user-friendly pipeline for microbial genomes assembly and annotation
    Lugli, Gabriele Andrea
    Milani, Christian
    Mancabelli, Leonardo
    van Sinderen, Douwe
    Ventura, Marco
    FEMS MICROBIOLOGY LETTERS, 2016, 363 (07)
  • [4] Gen2EpiGUI: User-Friendly Pipeline for Analyzing Whole-Genome Sequencing Data for Epidemiological Studies ofNeisseria gonorrhoeae
    Singh, Reema
    Yarmovich, Trevor
    Kusalik, Anthony
    Dillon, Jo-Anne R.
    SEXUALLY TRANSMITTED DISEASES, 2020, 47 (10) : E42 - E44
  • [5] EasyMetagenome: A user-friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research
    Bai, Defeng
    Chen, Tong
    Xun, Jiani
    Ma, Chuang
    Luo, Hao
    Yang, Haifei
    Cao, Chen
    Cao, Xiaofeng
    Cui, Jianzhou
    Deng, Yuan-Ping
    Deng, Zhaochao
    Dong, Wenxin
    Dong, Wenxue
    Du, Juan
    Fang, Qunkai
    Fang, Wei
    Fang, Yue
    Fu, Fangtian
    Fu, Min
    Fu, Yi-Tian
    Gao, He
    Ge, Jingping
    Gong, Qinglong
    Gu, Lunda
    Guo, Peng
    Guo, Yuhao
    Hai, Tang
    Liu, Hao
    He, Jieqiang
    He, Zi-Yang
    Hou, Huiyu
    Huang, Can
    Ji, Shuai
    Jiang, ChangHai
    Jiang, Gui-Lai
    Jiang, Lingjuan
    Jin, Ling N.
    Kan, Yuhe
    Kang, Da
    Kou, Jin
    Lam, Ka-Lung
    Li, Changchao
    Li, Chong
    Li, Fuyi
    Li, Liwei
    Li, Miao
    Li, Xin
    Li, Ye
    Li, Zheng-Tao
    Liang, Jing
    IMETA, 2025,
  • [6] Earl Grey: A Fully Automated User-Friendly Transposable Element Annotation and Analysis Pipeline
    Baril, Tobias
    Galbraith, James
    Hayward, Alex
    MOLECULAR BIOLOGY AND EVOLUTION, 2024, 41 (04)
  • [7] RSV-GenoScan: An automated pipeline for whole-genome human respiratory syncytial virus (RSV) sequence analysis
    Dosbaa, Alexandre
    Guilbaud, Romane
    Yusti, Anna -Maria Franco
    Ferre, Valentine Marie
    Charpentier, Charlotte
    Descamps, Diane
    Le Hingrat, Quentin
    Coppee, Romain
    JOURNAL OF VIROLOGICAL METHODS, 2024, 327
  • [8] Pseudomonas Genome Database: facilitating user-friendly, comprehensive comparisons of microbial genomes
    Winsor, Geoffrey L.
    Van Rossum, Thea
    Lo, Raymond
    Khaira, Bhavjinder
    Whiteside, Matthew D.
    Hancock, Robert E. W.
    Brinkman, Fiona S. L.
    NUCLEIC ACIDS RESEARCH, 2009, 37 : D483 - D488
  • [9] Gen2Epi: an automated whole-genome sequencing pipeline for linking full genomes to antimicrobial susceptibility and molecular epidemiological data in Neisseria gonorrhoeae
    Singh, Reema
    Dillon, Jo-Anne R.
    Demczuk, Walter
    Kusalik, Anthony
    BMC GENOMICS, 2019, 20 (1)
  • [10] AlexandrusPS: A User-Friendly Pipeline for the Automated Detection of Orthologous Gene Clusters and Subsequent Positive Selection Analysis
    Ceron-Noriega, Alejandro
    Schoonenberg, Vivien A. C.
    Butter, Falk
    Levin, Michal
    GENOME BIOLOGY AND EVOLUTION, 2023, 15 (10):