Difference between revisions of "BE 240, Spring 2020"

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* William Poole (CNS)
 
* William Poole (CNS)
 
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'''Class meetings'''
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'''Class meeting times'''
* Lectures: TBD
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* Lectures (overview of the tool via Zoom): TBD
* Recitations: TBD
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* Recitations (group debugging of student examples via Zoom): TBD
* Office hours: TBD
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* Office hours (individual help via Slack): TBD
 
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=== Lecture Schedule ===
 
=== Lecture Schedule ===
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Each week fo the course will cover a different topic and/or tool.  The first class meeting of the week will be a description of the use of that tool on a representative problem, carried out using a Jupyter notebook that students can download and follow along with the instructor.  The second class meeting of the week will consist of problems brought forth by students in the class as they have tried to implement the tools on their own problems.  These problems will be discussed and solved in a group setting.  Weekly office hours will be offered after the second lecture to allow students to ask questions about individual tools and problem and receive help via Slack and/or Zoom.
  
 
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Revision as of 04:45, 26 March 2020

Open Source Tools for Biological Circuit Design

Instructors

  • Richard Murray (CDS/BE), murray@cds.caltech.edu
  • Ayush Pandey (CDS)
  • Cindy Ren (CDS)
  • William Poole (CNS)

Class meeting times

  • Lectures (overview of the tool via Zoom): TBD
  • Recitations (group debugging of student examples via Zoom): TBD
  • Office hours (individual help via Slack): TBD

This is the course homepage for BE 240, Spring 2020.

This course covers the use of open source tools developed at Caltech for use in modeling and simulation of engineered biological circuits. Participants in the course will develop working knowledge of modeling, simulation, and design tools that are available for biological circuits and apply that knowledge to a circuit relevant to your research. Students will also gain insights into modeling and design choices, including what level of detail to include in a model based on the questions you are trying to ask. Finally, the course aims to expand the available applications of model-based design of biological circuits and/or the available tools for biological circuit design through open source implementations.

Lecture Schedule

Each week fo the course will cover a different topic and/or tool. The first class meeting of the week will be a description of the use of that tool on a representative problem, carried out using a Jupyter notebook that students can download and follow along with the instructor. The second class meeting of the week will consist of problems brought forth by students in the class as they have tried to implement the tools on their own problems. These problems will be discussed and solved in a group setting. Weekly office hours will be offered after the second lecture to allow students to ask questions about individual tools and problem and receive help via Slack and/or Zoom.

Date Topic Lecturer Tools
W1 - 30 Mar Organizational week Richard Anaconda, Jupyter, Git
W2 - 6 Apr CRNs and simulating them with Bioscrape William Bioscrape
W3 - 13 Apr Model reduction in bioscrape via non-mass-action propensities and rules Ayush Bioscrape
W4 - 20 Apr BioCRNpyler for generating large CRN models from parts William BioCRNpyler
W5 - 27 Apr Compartments as orthogonal CRNs connected by diffusion reactions and SubSBML Ayush Sub-SBML
W6 - 4 May Spatial systems and signalling Cindy Gro
W7 - 11 May Cells and Growth/death regulation Cindy Gro
W8 - 18 May System ID: Bioscrape inference tools Ayush Bioscrape Inference
W9 - 25 May Bioscrape Lineages as a well-mixed version of GRO William Bioscrape Lineages
W10 - 1 Jun Advanced: Automated Model Reduction Ayush Auto-Reduce

Grading

This class is graded pass/fail. To pass the class, you must participate in at least 80% of the lectures and recitations and submit a final project report consisting of a Jupyter notebook demonstrating the use of two or more of the tools in the class on a problem of interest to your research.

Collaboration Policy

Collaboration is encouraged in figuring out how to use all of the tools of this course. The final project report should represent your individual understanding of how to apply the tools demonstrated in this course to a problem of interest to your research. Obtaining feedback and advice from the instructors, course participants, or others on the final project is allowed, but the final code included in the project should be written up individually, citing any sources of code snippets that are included in the notebook.