Title |
PGAweb: A Web Server for Bacterial Pan-Genome Analysis
|
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Published in |
Frontiers in Microbiology, August 2018
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DOI | 10.3389/fmicb.2018.01910 |
Pubmed ID | |
Authors |
Xinyu Chen, Yadong Zhang, Zhewen Zhang, Yongbing Zhao, Chen Sun, Ming Yang, Jinyue Wang, Qian Liu, Baohua Zhang, Meili Chen, Jun Yu, Jiayan Wu, Zhong Jin, Jingfa Xiao |
Abstract |
An astronomical increase in microbial genome data in recent years has led to strong demand for bioinformatic tools for pan-genome analysis within and across species. Here, we present PGAweb, a user-friendly, web-based tool for bacterial pan-genome analysis, which is composed of two main pan-genome analysis modules, PGAP and PGAP-X. PGAweb provides key interactive and customizable functions that include orthologous clustering, pan-genome profiling, sequence variation and evolution analysis, and functional classification. PGAweb presents features of genomic structural dynamics and sequence diversity with different visualization methods that are helpful for intuitively understanding the dynamics and evolution of bacterial genomes. PGAweb has an intuitive interface with one-click setting of parameters and is freely available at http://PGAweb.vlcc.cn/. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 122 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 27 | 22% |
Researcher | 20 | 16% |
Student > Bachelor | 12 | 10% |
Student > Master | 10 | 8% |
Student > Doctoral Student | 8 | 7% |
Other | 18 | 15% |
Unknown | 27 | 22% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 30 | 25% |
Agricultural and Biological Sciences | 25 | 20% |
Immunology and Microbiology | 11 | 9% |
Computer Science | 8 | 7% |
Veterinary Science and Veterinary Medicine | 3 | 2% |
Other | 11 | 9% |
Unknown | 34 | 28% |