Supplementary Materials

Simulations of Stochastic Biological Phenomena

Fernand Hayot*

*To whom correspondence should be addressed. E-mail, fernand.hayot{at}mssm.edu

Slides. This Presentation contains slides for a lecture in a graduate course on computational biology. The lecture discusses stochastic modeling of biological phenomena.

Technical Details

Format: PowerPoint (.ppt)

Size: 700 KB

Requirements: Microsoft PowerPoint

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MATLAB Code. A MATLAB file for performing stochastic modeling of biological phenomena. The file “transcription.m” uses Gillespie's algorithm to implement a simple model of mRNA transcription and degradation.

Technical Details

Format: M file (.m)

Size: 2 KB

Requirements: MATLAB

[Download zipped file with MATLAB codes]

Answer Key. Simulations of Stochastic Biological Phenomena Answer Key files. The answer key and the MATLAB files (“transcription_translation.m” and “transcription_translation_varyk1.m”) corresponding to the answers for the problem set can be obtained by completing the “Request Resource” form.

Technical Details

Format: M file (.m)

Size: 3 KB, 4 KB

Requirements: MATLAB

Format: PDF (.pdf)

Size: 163 KB

Requirements: Adobe Acrobat Reader

Limits for Use

Cost: Free

Rights: This material may be downloaded for noncommercial, course-teaching purposes only, provided credit to Science Signaling is included by listing the citation for the Teaching Resource.

Citation: F. Hayot, Simulations of Stochastic Biological Phenomena. Sci. Signal. 4, tr13 (2011).

© 2011 American Association for the Advancement of Science