Experimental Methods in Systems Biology

Mount Sinai surveys technologies used to measure biological systems at different scales. RNA sequencing and proteomics lead into single-cell cytometry, live-cell imaging and integration with network or dynamical models. This course helps learners compare what a measurement technique captures and how datasets from different experiments might be interpreted together.

What you will learn

• Compare sequencing, proteomics and cytometry measurements.
• Explain the role of live-cell imaging.
• Relate experimental datasets to network and dynamical models.

Who this suits

Coursera labels the course mixed level. Detailed prerequisites are not specified; preview the molecular-biology and experimental-methods vocabulary.

Before you enroll

Treat this as an academic biology course. Check the expected scientific vocabulary and methods before enrolling; a conceptual or data exercise does not replace supervised laboratory training.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Choose a fictional research question and compare two measurement techniques. Identify the information each provides and one limitation of combining their datasets.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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