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生物信息学方法与实验验证的集成,了解诺奇信号在卵巢癌中的作用
JoVE Journal
Cancer Research
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JoVE Journal Cancer Research
Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
DOI:

09:08 min

January 12, 2020

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Chapters

  • 00:04Title
  • 00:44Prediction of Clinical Outcomes from Genomic Profiles (PRECOG)
  • 01:22Cancer Science Institute of Singapore Database (CSIOVDB) and Gene Expression Across Normal and Tumor Tissue (GENT)
  • 02:30cBioPortal
  • 03:30Drosophila Dissection and Staining
  • 07:23Results: Representative Bioinformatic Approaches to Understanding the Role of Notch Signaling in Ovarian Cancer
  • 08:42Conclusion

Summary

Automatic Translation

生物信息学是处理大规模数据集的有用方法。通过实施生物信息学方法,研究人员可以快速、可靠、高效地获得有见地的应用和科学发现。本文介绍了生物信息学在卵巢癌研究中的运用。它还通过实验成功验证了生物信息学的发现。

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