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020 ▼a 9798535521114
035 ▼a (MiAaPQ)AAI28735520
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 574
1001 ▼a Zong, David M.
24510 ▼a Methods for Predicting Synthetic Gene Circuits.
260 ▼a [S.l.]: ▼b Rice University., ▼c 2020.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2020.
300 ▼a 140 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
500 ▼a Advisor: Bennett, Matthew R.
5021 ▼a Thesis (Ph.D.)--Rice University, 2020.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0187.
650 4 ▼a Molecular biology.
650 4 ▼a Standard deviation.
650 4 ▼a Software.
650 4 ▼a RNA polymerase.
650 4 ▼a Biologists.
650 4 ▼a Binding sites.
650 4 ▼a Circuits.
650 4 ▼a Population density.
650 4 ▼a Noise.
650 4 ▼a E coli.
650 4 ▼a Flow cytometry.
650 4 ▼a Proteins.
650 4 ▼a Plasmids.
650 4 ▼a Simulation.
650 4 ▼a Gene expression.
650 4 ▼a Synthetic biology.
650 4 ▼a Experiments.
650 4 ▼a Bar codes.
650 4 ▼a Microscopy.
650 4 ▼a Computer engineering.
650 4 ▼a Consortia.
650 4 ▼a Design.
650 4 ▼a Transcription factors.
690 ▼a 0307
690 ▼a 0389
690 ▼a 0464
71020 ▼a Rice University. ▼b Systems, Synthetic and Physical Biology.
7730 ▼t Dissertations Abstracts International ▼g 83-03A.
773 ▼t Dissertation Abstract International
790 ▼a 0187
791 ▼a Ph.D.
792 ▼a 2020
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16054777 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202202 ▼f 2022
990 ▼a ***1012033
991 ▼a E-BOOK