Scientific research, especially within the space of translational research is becoming increasingly multidisciplinary. With the development of each new method there is not only a need for a broad fundamental understanding of all the sciences and mathematics, but also an acute awareness of how errors propagate across methods, the limitation of the methods and what contextual frameworks need to be used for the interpretation. The ability to understand transcriptional mechanisms and the affect that subtle changes in equilibrium may have on cell fate decisions has been greatly advanced by next generation sequencing and subsequent tools that have been developed. Bioinformatic techniques can serve multiple roles. They fundamentally provide a global picture of what is happening within an experimental condition which can then be used to either confirm individual experimental findings as globally relevant, or to discover new insights to inform the next iteration of experiments. Many of the experiments are done in in vitro conditions and therefore I have also focused energy on trying to understand how the mechanical inputs, largely not representative of what is occurring in vivo, from these methods affect transcriptional regulation. Much of this research requires the switching of frameworks to understand how results from disparate data sources can be correlated. I then applied a similar thought process to the development of Lens. Without an effective means of communicating research findings in an elegant and streamline mannered, we are slowing down the ability for researchers to learn new frame- works to efficiently approach the next research questions. In addition to better methods of communicating, we also need more modular and simplified tools that can be applied to various experimental systems to increase the speed and efficiency of translational research.
|Advisor:||Tjian, Robert, Fletcher, Daniel|
|Commitee:||Alliston, Tamara, Eisen, Michael|
|School:||University of California, Berkeley|
|School Location:||United States -- California|
|Source:||DAI-B 76/02(E), Dissertation Abstracts International|
|Subjects:||Biomedical engineering, Bioinformatics|
|Keywords:||Bioinformatics, Mechanotransduction, Multiply-aligned sequences, Next-generation sequencing, Open access publishing|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be