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Methods for Predicting Synthetic Gene Circuits
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Methods for Predicting Synthetic Gene Circuits. |
| 개인저자 | Zong, David M. |
| 단체저자명 | Rice University. Systems, Synthetic and Physical Biology. |
| 발행사항 | [S.l.]: Rice University., 2020. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2020. |
| 형태사항 | 140 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-03A. Dissertation Abstract International |
| ISBN | 9798535521114 |
| 학위논문주기 | Thesis (Ph.D.)--Rice University, 2020. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
Advisor: Bennett, Matthew R. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Molecular biology. Standard deviation. Software. RNA polymerase. Biologists. Binding sites. Circuits. Population density. Noise. E coli. Flow cytometry. Proteins. Plasmids. Simulation. Gene expression. Synthetic biology. Experiments. Bar codes. Microscopy. Computer engineering. Consortia. Design. Transcription factors. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
