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In silico Prediction of Regulators of Neuronal Identity through Phylogenetic Footprinting
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | In silico Prediction of Regulators of Neuronal Identity through Phylogenetic Footprinting. |
| 개인저자 | Glenwinkel, Lori. |
| 단체저자명 | Columbia University. Biological Sciences. |
| 발행사항 | [S.l.]: Columbia University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 246 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-02B(E). Dissertation Abstract International |
| ISBN | 9780438385511 |
| 학위논문주기 | Thesis (Ph.D.)--Columbia University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Oliver Hobert. |
| 요약 | How individual neurons in a nervous system give rise to complex function, behavior and consciousness in higher animals has been studied for over a century, yet scientist have only begun to understand how brains work at the molecular level. This |
| 요약 | Throughout my PhD I investigated neuron type identity regulators to understand how nervous system diversity is generated and maintained using several bioinformatic approaches. First, I developed a software program and community resource tool, Ta |
| 일반주제명 | Bioinformatics. Neurosciences. Genetics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
