Network Analysis in Systems Biology

An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory (http://labs.icahn.mssm.edu/maayanlab/ ) from the Icahn School of Medicine at Mount Sinai, but also other freely available data analysis and visualization tools. The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects. For those participants that do not work in the field, the course introduces the current research challenges faced in the field of computational systems biology.

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Syllabus

Syllabus - What you will learn from this course
Week 1
Course Overview and Introductions
Week 2
Topological and Network Evolution Models
Week 3
Types of Biological Networks
Week 4
Data Processing and Identifying Differentially Expressed Genes
Week 5
Gene Set Enrichment and Network Analyses
Week 6
Deep Sequencing Data Processing and Analysis
Week 7
Principal Component Analysis, Self-Organizing Maps, Network-Based Clustering and Hierarchical Clustering
Week 8
Resources for Data Integration
Week 9
Crowdsourcing: Microtasks and Megatasks
Week 10
Final Exam

FAQ

When will I have access to the lectures and assignments?

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Reviews

Excellent course to get deep into the data analysis of system biology experimentation.

It was a nice course with great information and resources for new people working or willing to work on bioinformatics

Exciting course. I think some contents should be updated but in general an exhaustive overview.

Various analytical approaches for network analysis are very well explained. Also, have explained the working of different bioinformatics or network-based tools and software.