过去十年微生物基因组学生物信息学工具的进步和挑战:朝着生物信息学工具,数字资源和新兴技术的智能集成,分析复杂的生物数据

Cheikh Tidiane Houmenou1, Cheikh Sokhna2, Florence Fenollar3

  • 1Institut Hospitalo-universitaire Méditerranée Infection, Marseille, France; Aix Marseille University, AP-HM, MEPHI, Marseille, France.

概括

微生物基因组学已经以新的测序和生物信息学工具进步,使全面的基因组分析和生态调查成为可能. 未来的方向包括人工智能和先进的测序,用于预测和可重现的研究.

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