Essential Bioinformatics for Global Leaders Ⅰ to begin on November 19, 2014

Prof. Yura
Prof. Yura
Prof. Bashar
Prof. Bashar
Prof. Gouraud
Prof. Gouraud
Prof. Yasumura
Prof. Yasumura
Prof. Sato
Prof. Sato
Prof. Aubert-Kato
Prof. Aubert-Kato

  The global leaders who make innovation happen should have basic knowledge of associated field (especially physics, mathematics and information science) enough to find new programs and solve them, in addition to high degree of professionalism. “Minor Course of Science and Technology for Global Leaders” have a coursework to enhance basic knowledge (Innovation Creation Fundamental Courses).
  “Essential Bioinformatics for Global Leaders Ⅰ” will be offered. This is a lecture 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 lecture will be conducted in English.

Lecture Objective

    This set of classes let the students grasp the general idea of bioinformatics, its logical background and its application. The students need not to understand the mathematical detail in the field. The classes include practices. This set of classes is open to graduate students in Ochanomizu University and not a compulsory for the leading program students.

Lecture Outline

Subject Essential Bioinformatics for Global Leaders Ⅰ   [14S1003]
Instructor Kei Yura  (Professor of Ochanomizu University)
Khayrul Bashar  (Project Associate Professor of Ochanomizu University)
Sabine Gouraud  (Project Associate Professor of Ochanomizu University)
Yuki Yasumura  (Project Lecturer of Ochanomizu University)
Atsuko Sato  (Project Lecturer of Ochanomizu University)
Nathanaël Aubert-Kato  (Project Assistant Professor of Ochanomizu University)
Target
Audience
Graduate Students
Lecture
Schedule
Date & Time Location Theme of Lecture
Wed.,Nov.19
13:20-16:30
Yasumura,
Sato, Yura
Main Build. R123
Seminar Room 2
Basics of molecular biology: [style: teaching and discussion]
Central dogma; Historical aspect of molecular biology; Genome sequencing; Things newly known by molecular biology;
Let the students understand the basic keywords in the field of molecular biology and bioinformatics.
Wed.,Nov.26
13:20-18:10
Aubert-Kato
Inter-Faculty Build. 1
IT Room 5
Sequence analysis: [style: Computer Practice]
Genome/protein sequence analysis, focusing on DNA/RNA sequence alignment and DNA/RNA/Protein folding.
Let the students use software on their Mac and/or web tools.
Wed.,Dec.3
13:20-16:30
Bashar
Inter-Faculty Build. 1
IT Room 5
Image data analysis for biology Ⅰ: [style: Computer Practice]
Basics of image analysis: Image histogram, linear filtering, histogram equalization, and typical methods in image segmentation, MATLAB programming basics. Practice elementary operations using ImageJ and/or GIMP.
Thu.,Dec.4
13:20-16:30
Bashar
Inter-Faculty Build. 1
IT Room 5
Image data analysis for biology Ⅱ: [style: Computer Practice]
MATLAB programming for image processing; MATLAB image processing library;
Student will implement a problem on image analysis using programming.
Wed.,Dec.10
13:20-18:10
Gouraud
Science Build.1
Biology Laboratoy 1
Micro array Analysis Ⅰ: [style: Teaching and wetlab Practice]
Teaching (90min): Basic concept of the Microarray technique, different applications (qualitative or quantitative analysis…), Advantages and limitations, other alternative methods. One application of the microarray technique: comparative transcriptomic study.
Practice (90 min x 2): Preparation of the samples (RNA extraction + RNA quality and quantity check, RNA transcription and labeling)
Wed.,Dec.17
13:20-16:30
Gouraud
Science Build.1
Biology Laboratoy 1
Micro array Analysis Ⅱ: [style: wet lab Practice]
Labelled cRNA purification, quantification, quality check and
microarray hybridization (O/N).
Wed.,Dec.24
13:20-18:10
Gouraud
Part 1:
Science Build.1
Biology Laboratoy 1
Part 2:
Inter-Faculty Build. 1
IT Room 5
Micro array Analysis Ⅲ: [style: Practice]
Washing and detection of the microarray, microarray data analysis with software and discussion over the data.

Lecture Brochure

Registration

To take this lecture, you need to register through Ochanomizu University’s web registration. The registration process is same as for other lectures in Fall Semester 2014.
Registration Period: October 1 through 14
If you cannot register during above period, please submit a paper-based registration form at Academic Affairs Office in Student Affairs Building.

Contact

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