User:Xin Amy Guan: Difference between revisions
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Tue 15-Sep: Calculate the Exponential and Logistic curves in Spreadsheet and Python forms as discussed in class (ppt class slides posted if you need it). Please put a brief comment on your wiki page indicating observations that you had in doing this exercise, e.g. an example plot or any problems you encountered. | Tue 15-Sep: Calculate the Exponential and Logistic curves in Spreadsheet and Python forms as discussed in class (ppt class slides posted if you need it). Please put a brief comment on your wiki page indicating observations that you had in doing this exercise, e.g. an example plot or any problems you encountered. | ||
We see that increasing the value of k results in faster growth and a steeper slope. The dots that connect the graph are farther spaced as the value of k increases. Pasted below are three plots. One example I encountered was that originally I planned to use k=0.9, 1.5, and 4 but somehow the x bound for k=4 went from [0,3] even though my upper bound for x=5. Also, the upper bound for all my graphs is x=4.5 even though the first line command thing: t1 = np.arange(0.0, 5.0, x) was displayed exactly as is. | |||
This is the graph for k=0.9 | This is the graph for k=0.9 | ||
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[[Image:Graph_k=1.5.png|Graph_k=1.5.png]] | [[Image:Graph_k=1.5.png|Graph_k=1.5.png]] | ||
This is the graph for k=4 | This is the graph for k=4.03 | ||
[[Image:Graph_k=4.03.png|Graph_k=4.03.png]] | [[Image:Graph_k=4.03.png|Graph_k=4.03.png]] | ||
Revision as of 19:22, 13 September 2009
I am a new member of OpenWetWare!
Contact Info
- Xin Amy Guan
- Harvard University
- Cambridge, Massachusetts, USA
- Email: guan@fas.harvard.edu
- Phone: 850-345-8131
I am a second year undergraduate at Harvard College, concentrating in either Molecular and Cellular Biology or Evolutionary Biology. I was on the Harvard iGEM Team in 2009, and will be taking Biophysics 101 this fall. I learned about OpenWetWare through these two great research opportunities.
I'm really excited about the interdisciplinary nature of Biophysics 101. I've done some wet lab work here and there in high school and as an undergraduate, but never have I been exposed to the more quantitative tools in biology, such as programming, etc... which have proven to be quite useful over the past couple of decades and has helped in the ever evolving nature of biological research. Overall I hope that this cute hodge-podge milieu will allow us to extract the maximum amount of learning possible.
Biophysics 101 Assignments
Tue 15-Sep: Calculate the Exponential and Logistic curves in Spreadsheet and Python forms as discussed in class (ppt class slides posted if you need it). Please put a brief comment on your wiki page indicating observations that you had in doing this exercise, e.g. an example plot or any problems you encountered.
We see that increasing the value of k results in faster growth and a steeper slope. The dots that connect the graph are farther spaced as the value of k increases. Pasted below are three plots. One example I encountered was that originally I planned to use k=0.9, 1.5, and 4 but somehow the x bound for k=4 went from [0,3] even though my upper bound for x=5. Also, the upper bound for all my graphs is x=4.5 even though the first line command thing: t1 = np.arange(0.0, 5.0, x) was displayed exactly as is.
This is the graph for k=0.9
This is the graph for k=1.5
This is the graph for k=4.03
Education
- Year, PhD, Institute
- Year, MS, Institute
- 2012, AB, Harvard College
Research interests
- Interest 1
- Interest 2
- Interest 3
Publications
Hazelwood, K.; Ramko, E.; Ozarowska, A.; Olenych, S.; Worthy, P.; Guan, A.; Murphy, C. and Davidson, M., Searching the Fluorescent Protein Color Palette for New FRET Pairs, Proc. SPIE, 6868, 11 (2008)
