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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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Genetica
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JoVE Journal Genetica
A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

DOI:
10.3791/62250-v

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09:34 min

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September 25, 2021

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1Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital,Southern Medical University, 2Center for Quantitative Biology,Peking University, 3State Key Laboratory of Organ Failure Research,Southern Medical University

Capitoli

  • 00:07Introduction
  • 01:35The Installation of the Virtual Machine
  • 04:11Create Shared Folders and Prepare the Files for the Training Set and Test Set
  • 06:55Digitize the Biological Sequences Using “One‐Shot” Encoding Form
  • 07:27Train and Test the Artificial Neural Network
  • 08:12Result
  • 08:52Conclusion

Summary

Traduzione automatica

Traduzione automatica

This tutorial describes a simple method to construct a deep learning algorithm for performing 2-class sequence classification of metagenomic data.

Tags

Virtual MachineDeep LearningBiological Sequence ClassificationMetagenomic DataSpecies ClassificationGene Function ClassificationHost ClassificationDeep Learning FrameworkSequence ClassificationVirtualBoxUbuntu

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