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BIOCODER #8. JULY 2015
Título:
BIOCODER #8. JULY 2015
Subtítulo:
Autor:
O´REILLY
Editorial:
O´REILLY
Año de edición:
2015
ISBN:
978-1-4919-2507-2
Páginas:
92
5,50 €

 

Sinopsis

BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You'll discover:

Articles about interesting projects and experiments, such as the glowing plant
Articles about tools, both those you buy and those you build
Visits to DIYbio laboratories
Profiles of key people in the community
Announcements of events and other items of interest
Safety pointers and tips about good laboratory practice
Anything that's interesting or useful: you tell us!
And BioCoder is free (for the time being), unless you want a dead-tree version. We'd like BioCoder to become self supporting (maybe even profitable), but we'll worry about that after we've got a few issues under our belt.

If you'd like to contribute, send email to BioCoder@oreilly.com. Tell us what you'd like to do, and we'll get you started.



Chapter 1Homegrown Neuroscience: Backyard Brains and the RoboRoach
Chapter 2Molecular Diagnostics on the Smartphone: The Mobile Health Revolution
DIY Tests and Consumer Demand
Health Data at Your Fingertips
The Central Lab Hurdle
A Smartphone Solution: Mobile MDx
What's Next?
References
Appendix
Chapter 3Open Source Biomaterials for Regenerative Medicine
Commercially Available Biomaterials
Open Source Biomaterials
Open Source Biomaterials: Too Good to Be True?
Conclusion
References
Affiliations
Chapter 4Flexible Robotic Platforms That Allow Scientists to Remain Scientists
The Unfulfilled Promise of Biotechnology
Impediments to Wet-Lab Productivity
Automation for the Wet Lab
Emerging Solutions
Wet Lab Work Is Encodable
Visual Sensing and Feedback
Middleware Is Essential
The aBioBot Solution
The Path Forward
Chapter 5The Development of the Personal Genetic Kit
Chapter 6DIY Open Source Biomaterials
Methods
Conclusion
References
Chapter 7Genome Editing Systems
Discovery
Mechanism of Action
Ethical Concerns
Chapter 8Analyze Your Own Microbiome
Working with uBiome Taxonomy Data
Get the Raw Data from uBiome
Analyze uBiome Results in Excel
Compare and Study Multiple uBiome Results
Analyze a uBiome Sample Yourself
Limitations
Conclusion
References and Further Information