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Systems Biology and Biotechnology

Avi Ma’ayan, PhD, Marc Birtwistle, PhD, Ravi Iyengar, PhD, Susana Neves, PhD, Eric Sobie, PhD, and Iman Tavassoly, MD, PhD

Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.

The Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.

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What's inside

Six courses

Introduction to Systems Biology

(0 hours)

This course will introduce students to contemporary Systems Biology focused on mammalian cells, their constituents, and their functions. Biology is moving from molecular to modular. As our knowledge of our genome and gene expression deepens and we develop lists of molecules (proteins, lipids, ions) involved in cellular processes, we need to understand how these molecules interact with each other to form modules that act as discrete functional systems.

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Experimental Methods in Systems Biology

(0 hours)

Learn about the technologies underlying experimentation used in systems biology, with a focus on RNA sequencing, mass spec-based proteomics, flow/mass cytometry, and live-cell imaging.

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Network Analysis in Systems Biology

(0 hours)

This course introduces data analysis methods used in systems biology, bioinformatics, and systems pharmacology research. It covers methods to process raw data from genome-wide mRNA expression studies, including data normalization, clustering, dimensionality reduction, differential expression, enrichment analysis, and network construction.

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Dynamical Modeling Methods for Systems Biology

(1 hours)

An introduction to dynamical modeling techniques used in Systems Biology research. We take a case-based approach to teach contemporary mathematical modeling techniques. The course is appropriate for advanced undergraduates and beginning graduate students.

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Integrated Analysis in Systems Biology

(0 hours)

This course develops integrative skills through directed reading and analysis of the current primary literature to enable the student to develop the capstone project as the overall final exam for the specialization in systems biology.

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Systems Biology and Biotechnology Capstone

(0 hours)

NOTE: Students must complete the following courses in the Signature Track before taking this course: Introduction to Systems Biology, Network Analysis in Systems Biology, Dynamical Modeling Methods for Systems Biology, Experimental Methods in SB and Integrated Analysis In Systems Biology.

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Time

284 hours

Level

Intermediate

Via

Coursera

Institution

Icahn School of Medicine at Mount Sinai

Instructors

Avi Ma’ayan, PhD

Marc Birtwistle, PhD

Ravi Iyengar, PhD

Susana Neves, PhD

Eric Sobie, PhD

Iman Tavassoly, MD, PhD

Level

Intermediate

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