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Methods for Predicting Synthetic Gene Circuits
Methods for Predicting Synthetic Gene Circuits
Methods for Predicting Synthetic Gene Circuits

Detailed Information

자료유형  
 학위논문파일 국외
최종처리일시  
20220210094452
ISBN  
9798535521114
DDC  
574
저자명  
Zong, David M.
서명/저자  
Methods for Predicting Synthetic Gene Circuits
발행사항  
[Sl] : Rice University, 2020
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2020
형태사항  
140 p
주기사항  
Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
주기사항  
Advisor: Bennett, Matthew R.
학위논문주기  
Thesis (Ph.D.)--Rice University, 2020.
사용제한주기  
This item must not be sold to any third party vendors.
일반주제명  
Molecular biology
일반주제명  
Standard deviation
일반주제명  
Software
일반주제명  
RNA polymerase
일반주제명  
Biologists
일반주제명  
Binding sites
일반주제명  
Circuits
일반주제명  
Population density
일반주제명  
Noise
일반주제명  
E coli
일반주제명  
Flow cytometry
일반주제명  
Proteins
일반주제명  
Plasmids
일반주제명  
Simulation
일반주제명  
Gene expression
일반주제명  
Synthetic biology
일반주제명  
Experiments
일반주제명  
Bar codes
일반주제명  
Microscopy
일반주제명  
Computer engineering
일반주제명  
Consortia
일반주제명  
Design
일반주제명  
Transcription factors
키워드  
Synthetic biology
키워드  
Prediction
키워드  
Synthetic gene circuits
기타저자  
Rice University Systems Synthetic and Physical Biology
기본자료저록  
Dissertations Abstracts International. 83-03A.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008220131s2020        us                              c    eng  d
■001000016054777
■00520220210094452
■020    ▼a9798535521114
■035    ▼a(MiAaPQ)AAI28735520
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a574
■1001  ▼aZong,  David  M.
■24510▼aMethods  for  Predicting  Synthetic  Gene  Circuits
■260    ▼a[Sl]▼bRice  University▼c2020
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2020
■300    ▼a140  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-03,  Section:  A.
■500    ▼aAdvisor:  Bennett,  Matthew  R.
■5021  ▼aThesis  (Ph.D.)--Rice  University,  2020.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0187.
■650  4▼aMolecular  biology
■650  4▼aStandard  deviation
■650  4▼aSoftware
■650  4▼aRNA  polymerase
■650  4▼aBiologists
■650  4▼aBinding  sites
■650  4▼aCircuits
■650  4▼aPopulation  density
■650  4▼aNoise
■650  4▼aE  coli
■650  4▼aFlow  cytometry
■650  4▼aProteins
■650  4▼aPlasmids
■650  4▼aSimulation
■650  4▼aGene  expression
■650  4▼aSynthetic  biology
■650  4▼aExperiments
■650  4▼aBar  codes
■650  4▼aMicroscopy
■650  4▼aComputer  engineering
■650  4▼aConsortia
■650  4▼aDesign
■650  4▼aTranscription  factors
■653    ▼aSynthetic  biology
■653    ▼aPrediction
■653    ▼aSynthetic  gene  circuits
■690    ▼a0307
■690    ▼a0389
■690    ▼a0464
■71020▼aRice  University▼bSystems,  Synthetic  and  Physical  Biology.
■7730  ▼tDissertations  Abstracts  International▼g83-03A.
■773    ▼tDissertation  Abstract  International
■790    ▼a0187
■791    ▼aPh.D.
■792    ▼a2020
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16054777▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202202▼f2022

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