Next-Generation Sequencing and its Application using Machine Learning (BIO610)

2024_HS_NextGenSeq-ML
06.11.2024 - 07.11.2024
2 days
  • 06.11.2024, 09:00 - 18:00: Next-Generation Sequencing and its Application using Machine Learning (BIO610)
  • 07.11.2024, 09:00 - 18:00: Next-Generation Sequencing and its Application using Machine Learning (BIO610)
Start registration period: 03.06.2024
End of registration period: 06.10.2024
External
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Students enrolled in PSC PhD Programs have priority.
Free of charge to all Ph.D. students.
University of Zurich, tba
Handling of the huge data produced by next generation sequencers (NGS) requires us experimental knowledge and data analysis skills. The aim of this course is to familiarize the participants with experimental methods and data analysis about NGS. Topics will include: fundamental analysis of the sequence data, UNIX tools, and RNA- seq analysis. Fundamentals of data analysis and machine learning are also introduced.
Prof. Kentaro Schimizu, Prof. Dr. Jun Sese, Dr. Masaomi Hatakeyama, Dr. Rie Shimizu-Inatsugi, Dr. Deepak Tanwar
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Open for PhD students. Priority will be given to PhD students of the PhD programs in Plant Sciences and Science & Policy. Postdocs if places available.
BIO609 "Introduction to UNIX/Linux and Bash scripting" is a prerequisite to set up computers (contact coordinators if you have appropriate previous knowledge in the Linux/Unix command line and bash scripting). Basic studies completed.
English
Attendance at lectures and active participation in the hands-on exercises are required.

By registering you agree to the PSC course terms and conditions AGBs

Cancellation of a course registration should be arranged with the course coordination office psc_phdprogram@ethz.ch and is possible free of charge up to 2 weeks before the course starts.
Later cancellations and failure to attend or incomplete attendance without documented justification will incur a fee of 200 CHF.

Zurich-Basel Plant Science Center

Dr. Bojan Gujas (psc_phdprogram@ethz.ch)
BG_HS24_NGS II_BIO610_DRAFT.pdf
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