Essential Bioinformatics for Global Leaders‡Um18S1010n

‰Θ–Ϊ–Ό
Course Title
Essential Bioinformatics for Global Leaders‡Um18S1010n
Essential Bioinformatics for Global Leaders‡U
Žφ‹ΖŒΎŒκ
Language
English
‰Θ–Ϊ‹ζ•ͺE‰Θ–ΪŽν ‹€’ʉȖځi‘OŠϊ‰Ϋ’φj ƒNƒ‰ƒX ”ŽŽm‰Ϋ’φ‹€’Κ
CCBM   ·¬Ψ±Γή»ή²έ  
’PˆΚ” 2.0’PˆΚ —šC”NŽŸ 1`3”N

’S“–‹³ˆυ GOURAUD Sabine SandraStephanie
ŠwŠϊ ‘O•s’θŠϊ
“ϊ’φEŽžŒΐE‹³ŽΊ
2018/04/11 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/04/18 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/04/25 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/05/09 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/05/16 5 ` 8 Œΐ (13:20 ` 16:30) —Šw•”2†ŠΩ202ŽΊ
2018/05/23 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/05/30 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/06/06 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/06/13 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/06/20 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/06/27 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/07/04 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“408ŽΊ
2018/07/11 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“102ŽΊ
2018/07/18 5 ` 6 Œΐ (13:20 ` 14:50) lŠΤ•Ά‰»Œ€‹†‰Θ“102ŽΊ

Žφ‹Ζ‚ΜŒ`‘Τ
u‹`CŽΐŒ±C‰‰K

‹³‰Θ‘EŽQl•ΆŒ£
Various softwares and databases (Subioplatform, MeV, DAVID, Pathway Studio, Genespring, GEO, Matlabc)

•]‰Ώ•ϋ–@E•]‰ΏŠ„‡
¬˜_•ΆiƒŒƒ|[ƒgj=Report submission deadline: 2018, August 1st, 5.00pm CŽφ‹Ζ‚Φ‚ΜŽQ‰Α‘Τ“x

Žε‘θ‚Ζ–Ϊ•W
Bioinformatics 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.

Žφ‹ΖŒv‰ζ
Class 1- Introduction to the gomicsh [style: lecture and discussion].

Class 2- Proteomics techniques and applications [style: lecture and discussion]

Class 3- Genomics techniques and applications [style: lecture and discussion]

Class 4- Functional genomic databases and big data handling: Gene Ontology classification, KEGG, GEOc [style: lecture, computer practice 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.

ŽžŠΤŠOŠwK
Students might be asked to perform simple data analysis to practice the methods seen during the class

ŠwΆ‚Φ‚ΜƒƒbƒZ[ƒW
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!

ŠwΆ‚Μ–β‚’‡‚ν‚Ήζ
ƒŠ[ƒfƒBƒ“ƒO‘εŠw‰@„iƒZƒ“ƒ^[F03-5978-5775