• Jl. Letjen. Suprapto Kav. 13, Cempaka Putih, Jakarta Pusat 10510. Indonesia
  • bwf_2018@genomicyarsi.id
Bioinformatics Workshop Fiesta 2018 Bioinformatics Workshop Fiesta 2018
  • BC
  • BWF 2018
    • Essential Topics in BIoinformatics: Beginner to Intermediate
    • Computer Programming in Biology
    • Genome Informatics
    • Applied Bioinformatics
    • R for Practical Data Analysis
    • Applied Computing for Bioinformatics
    • Structural Bioinformatics and Molecular Modelling
    • Molecular Mechanics and Docking
    • Molecular Dynamics and Simulation
  • Promo
  • Gallery
  • About Us
  • Register BWF
  • BC
  • BWF 2018
    • Essential Topics in BIoinformatics: Beginner to Intermediate
    • Computer Programming in Biology
    • Genome Informatics
    • Applied Bioinformatics
    • R for Practical Data Analysis
    • Applied Computing for Bioinformatics
    • Structural Bioinformatics and Molecular Modelling
    • Molecular Mechanics and Docking
    • Molecular Dynamics and Simulation
  • Promo
  • Gallery
  • About Us
  • Register BWF
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Applied Bioinformatics

July 9, 2018 @ 8:00 am - July 13, 2018 @ 5:00 pm

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  • « Genome Informatics
  • R for Practical Data Analysis »

This Applied Bioinformatics course aims to introduce advanced theoretical knowledge and computational skills and apply them to help solve real-life biological problems. The course will equip participants with the computational skills and awareness needed to analyse datasets on transcriptomics, cancer genomics, viral, immuno and vaccine informatics.

  • Transcriptomics
  • Epigenomics & non-coding genome
  • Cancer genomics
  • Personal & medical genomics
  • Vaccine informatics
  • Immuno-informatics
  • Viral informatics
  • Data curation & visualization

Who should attend: Anyone with a basic background in bioinformatics

Instructor:
A/P Dr. M. Asif Khan
Perdana University
PhD (NUS, SG)


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Details

Start:
July 9, 2018 @ 8:00 am
End:
July 13, 2018 @ 5:00 pm
Event Category:
Advanced

Event Navigation

  • « Genome Informatics
  • R for Practical Data Analysis »

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