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Fish genomes : a powerful tool to uncover new functional elements in vertebrates

Stupka, E.

Citation

Stupka, E. (2011, May 11). Fish genomes : a powerful tool to uncover new functional elements in vertebrates. Retrieved from https://hdl.handle.net/1887/17640

Version: Corrected Publisher’s Version

License: Licence agreement concerning inclusion of doctoral thesis in the Institutional Repository of the University of Leiden

Downloaded from: https://hdl.handle.net/1887/17640

Note: To cite this publication please use the final published version (if applicable).

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Stellingen  behorende  bij  het  proefschrift

 

 “Fish  genomes:  a  powerful  tool  to  uncover  new  functional   elements  in  vertebrates”  

Te  verdedigen  op  11  mei  2011  om  16.15  uur  te  Leiden     door  

 Elia  Stupka

 

1. Vertebrate genomes contain large fractions of non-coding DNA which are not important for the basic function of a vertebrate.

[this Thesis, Chapter 2-3]

2. The portion of vertebrate genomes coding for proteins as well as a large bulk of regulatory sequences is highly conserved.

[this Thesis, Chapter 2-3]

3. Regulation of transcription initiation is far more complex than was previously thought.

[this Thesis, Chapter 4].

4. Assembly of large vertebrate genomes from next-generation

sequencing data is achievable in a single laboratory environment on a reasonable budget.

[this Thesis, Chapter 5].

5. Despite the availability of next-generation sequencing technologies, comparative genomics is still a valuable methodology to study genome function.

6. In the medium-term genome sequencing will become a commodity, managing the data storage and analysis will become the bottleneck.

7. Sequencing will allow us to understand the molecular networks underlying physiological and pathological processes via a single methodology, be they genetic, epigenetic or transcriptional networks.

8. If we are to understand physiological mechanisms and the causes of disease we have to rapidly shift from single experiments to

comprehensive and collaborative data-driven models.

9. The greatest bottleneck to scientific development of humankind is not technology but rather human barriers such as scientific culture, politics and burocracy.

 

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