Efficient storage of and in DNA
Abstract/Contents
- Abstract
- The last decade has witnessed staggering improvements in DNA sequencing technologies, leading to the emergence of new frontiers in genomics and medical research. Low-cost DNA sequencing has led to multiple large scale sequencing initiatives such as the Thousand Genomes Project and the Million Veterans Project leading to a huge surge in the amount of genomic data being generated. This deluge of information has motivated the development of compression techniques for genomic data. The advances in genomic sequencing and synthesis technologies have also opened avenues for research into the potential for using DNA for storage of digital data. This thesis studies two related problems: compression techniques for efficient storage of genomic sequencing data, and error-correction for storing digital data in DNA. Both of these problems utilize special properties of the DNA sequencing process in the algorithmic design. We start with a brief introduction to the genomic sequencing pipeline. We then look at the problems of genomic data compression and storage of digital data in DNA in detail, analyzing both the theoretical aspects and practical algorithmic designs
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Tatwawadi, Kedar Shriram |
|---|---|
| Degree supervisor | Weissman, Tsachy |
| Thesis advisor | Weissman, Tsachy |
| Thesis advisor | Özgür, Ayfer |
| Thesis advisor | Wootters, Mary |
| Degree committee member | Özgür, Ayfer |
| Degree committee member | Wootters, Mary |
| Associated with | Stanford University, Department of Electrical Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Kedar Shriram Tatwawadi |
|---|---|
| Note | Submitted to the Department of Electrical Engineering |
| Thesis | Thesis Ph.D. Stanford University 2020 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Kedar Shriram Tatwawadi
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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