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Essential Bioinformatics for Global Leaders Ⅱ to begin on April 11, 2018 (Location changed)

Posted on 2018/03/20

 Class List of Spring Semester 2018

“Essential Bioinformatics for Global LeadersⅡ” will begin on April 11. This is a class for students who are in “Minor Course of Science and Technology for Global Leaders”. But all master’s & doctoral students can take it if you have interest. The class will be conducted in English.

Theme & Objective

Prof. GouraudBioinformatics is an interdisciplinary research area at the interface between biological science and computational science, the ultimate goal of which is to better understand living cells and their functioning at the molecular level. It involves the technologies that use computers for the storage, retrieval, manipulation, understanding and distribution of information related to biological macromolecules such as DNA, RNA, protein, and even more. To take benefit of these classes, it is recommended either to have a basic knowledge in molecular and cell biology or to have attended Essential Bioinformatics for Global Leaders I. These advanced classes aim at demonstrating the students how to apply computational methods to the analysis of big data obtained from high throughput techniques in the biological field. This course will give the students examples of common use of bioinformatics in the biological field and provide them with a practical experience with wet lab (microarray) and computer practice (data analysis) sessions.

Message to Students

This class will be a great opportunity for you to know everything about various useful bioinformatics applications among them, microarray technique. You will be especially given the opportunity to follow a real microarray experiment from beginning to end (wet lab and computational data analysis practice). Do not hesitate to join us in this fun experience!

Lecture Outline

Subject
Essential Bioinformatics for Global LeadersⅡ [18S1010]
Number of Credits
2.0
Instructor
Gouraud, Sabine (Project Associate Professor of Ochanomizu University)
Target Audience
Graduate Students
Date, Time and Location
Wed., April 11, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., April 18, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., April 25, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., May 9, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., May 16, Period 5-8 (13:20-16:30) Science building 2 R202
Wed., May 23, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., May 30, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., June 6, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., June 13, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., June 20, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., June 27, Period 5-6 (13:20-14:50) Graduate School of Humanities & Sciences Building R408
Wed., July 4, Period 5-6 (13:20-14:50) Science building 2 R302
Wed., July 11, Period 5-6 (13:20-14:50) Science building 2 R302
Wed., July 18, Period 5-6 (13:20-14:50) Science building 2 R302
Lecture Plan
  • Class 1- Introduction to the “omics” [style: lecture and discussion]
  • Class 2- Functional genomic databases and big data handling: Gene Ontology classification, KEGG, GEO… [style: lecture, computer practice and discussion]
  • Class 3- Proteomics techniques and applications [style: lecture and discussion]
  • Class 4- Genomics techniques and applications [style: lecture and discussion]
  • Class 5-6- Microarray experiment demonstration [style: wet lab]
  • Class 7- Microarray data visualization and retrieval [style: computer practice and discussion]
  • Class 8- Microarray data preprocessing [style: computer practice and discussion]
  • Class 9- Microarray data analysis and mining I [style: computer practice and discussion]
  • Class 10- Microarray data analysis and mining II [style: computer practice and discussion]
  • Class 11- Microarray data analysis: conclusion [style: computer practice and discussion]
  • Class 12**– Introduction to data and data types in the bioinformatics domain. Techniques for extracting information from various types of data. [Style: Lecture and computer demonstration]
  • Class 13**– An algorithm for information extraction from cellular imaging data [Style: computer practice]
  • Class 14**– Basic machine learning (ML) concept and theories, Simple ML algorithms for classification problems. [Style: Lecture and discussion]
  • Class 15**– A ML algorithm for disease classification [Style: Computer Practice]
  • **Courses given by Prof. Bashar MD Khayrul.
Out-of-class Learning
Students might be asked to perform simple data analysis to practice the methods seen during the class
Textbook/Reference
Various softwares and databases (Subioplatform, MeV, DAVID, Pathway Studio, Genespring, GEO, Matlab…)

Registration

Registration Period: Mon., April 9 through Sat., April 21
If you cannot register during above period, please contact Academic Affairs Office in Student Affairs Building.

Contact

Ochanomizu University Leading Graduate School Promotion Center
Tel: 03-5978-5775
E-mail: