Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary: Pan-genome analyses have shed light on the dynamics and evolution of bacterial genome from the point of population. The explosive growth of bacterial genome sequence also brought an extremely big challenge to pan-genome profile analysis.  developed a tool, named PanGP, to complete pan-genome profile analysis for large-scale strains efficiently. PanGP has integrated two sampling algorithms, totally random (TR) and distance guide (DG). The DG algorithm drew sample strain combinations on the basis of genome diversity of bacterial population. The performance of these two algorithms have been evaluated on four bacteria populations with strain numbers varying from 30 to 200, and the DG algorithm exhibited overwhelming advantage on accuracy and stability than the TR algorithm.#R##N##R##N#Availability: PanGP was developed with a user-friendly graphic interface and it was available at http://PanGP.big.ac.cn.#R##N##R##N#Contact: nc.ca.gib@afgnijoaix or nc.ca.gib@yjuw#R##N##R##N#Supplementary information: Supplementary data are available at Bioinformatics online.
['Yongbing Zhao', 'Xinmiao Jia', 'Junhui Yang', 'Yunchao Ling', 'Zhang Zhang', 'Jun Yu', 'Jiayan Wu', 'Jingfa Xiao']
I am writing a research paper on a idea PanGP: A tool for quickly analyzing bacterial pan-genome profile
[{"from": "human", "value": "I am writing a research paper on a idea PanGP: A tool for quickly analyzing bacterial pan-genome profile"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary: Pan-genome analyses have shed light on the dynamics and evolution of bacterial genome from the point of population. The explosive growth of bacterial genome sequence also brought an extremely big challenge to pan-genome profile analysis.  developed a tool, named PanGP, to complete pan-genome profile analysis for large-scale strains efficiently. PanGP has integrated two sampling algorithms, totally random (TR) and distance guide (DG). The DG algorithm drew sample strain combinations on the basis of genome diversity of bacterial population. The performance of these two algorithms have been evaluated on four bacteria populations with strain numbers varying from 30 to 200, and the DG algorithm exhibited overwhelming advantage on accuracy and stability than the TR algorithm.#R##N##R##N#Availability: PanGP was developed with a user-friendly graphic interface and it was available at http://PanGP.big.ac.cn.#R##N##R##N#Contact: nc.ca.gib@afgnijoaix or nc.ca.gib@yjuw#R##N##R##N#Supplementary information: Supplementary data are available at Bioinformatics online."}]