Training Courses
- Topic 1 ：The Bioinformatics Series
- Topic 2 ：Tools & E-Resources at Life Science Library
- -- Physical Class； -- Video Class
- or
will appeared 21 days before the class date for registration；Click Nextto fill out information to complete registration
【Bioinformatics series】6：Metabolomics data analysis(In Chinese)(Physical and Video Class)
2024-05-14 （Tue） 14:00~16:00
Dr.YU-JEN LIANG(Institute of Statistical Science, Academia Sinica)
B1 Auditorium, Institute of Statistical Science
LC/GC-MS experiment, peak analysis, data QC, and statistical analysis
Using IPA to integrate genomic data with bioinformatics tools to explore the mechanisms of complex diseases.(In English)(Physical and Video Class)Click on〔See Introduction〕for important course registration notices
2024-05-17 （Fri） 13:30~16:00
Ms.Christine Hsiung(Project Supervisor,GGA Corp)
2F Computer classroom, Bldg. D, NBRP
【Notice】
Colleagues within Academia Sinica who wish to operate IPA during the course, please apply for an IPA account first and complete registration by May 9th. Thank you for your cooperation. (Click here to apply for an IPA account)
【Introduction】
Ingenuity Pathway Analysis (IPA) is a powerful bioinformatics tool designed for high-throughput data analysis, such as Genome-Wide Association Studies (GWAS) and Transcriptome Differential Expression (RNA-seq DEG). It enables pathway analysis, functional analysis, and toxicology analysis. IPA combines advanced techniques from bioinformatics, statistics, and pathway analysis to provide an in-depth exploration of genomic data functionalities. This course will focus on how to leverage genomic data, through Ingenuity Pathway Analysis (IPA) to delve into the mechanisms of complex diseases. You can explore how this tool reveal interactions between genes, participation in biological pathways, and how this information contributes to a better understanding of the occurrence and development of complex diseases. Furthermore, you can delve into how these studies lay valuable foundations for shaping the future of personalized therapy and driving the development of precision medicine.
【Agenda】
1. Introduction and Updates on QIAGEN IPA 2. Searching and Pathway Visualization using IPA 3. Case Study: Experimental Design and Data Upload 4. IPA Core Analysis and Result Interpretation 5. Comparison of IPA Results with Database Findings
【Bioinformatics series】7：Annotation and enrichment analysis(In Chinese)(Physical and Video Class)
2024-05-28 （Tue） 14:00~16:00
Dr.EN-YU LAI(Institute of Statistical Science, Academia Sinica)
B1 Auditorium, Institute of Statistical Science
Common annotation tools and their statistical idea