| LDR | | 01917nam u200433 4500 |
| 001 | | 000000419971 |
| 005 | | 20190215164113 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438385511 |
| 035 | |
▼a (MiAaPQ)AAI10934740 |
| 035 | |
▼a (MiAaPQ)columbia:14895 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 574 |
| 100 | 1 |
▼a Glenwinkel, Lori. |
| 245 | 10 |
▼a In silico Prediction of Regulators of Neuronal Identity through Phylogenetic Footprinting. |
| 260 | |
▼a [S.l.]:
▼b Columbia University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 246 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B. |
| 500 | |
▼a Adviser: Oliver Hobert. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Columbia University, 2018. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0054. |
| 650 | 4 |
▼a Bioinformatics. |
| 650 | 4 |
▼a Neurosciences. |
| 650 | 4 |
▼a Genetics. |
| 690 | |
▼a 0715 |
| 690 | |
▼a 0317 |
| 690 | |
▼a 0369 |
| 710 | 20 |
▼a Columbia University.
▼b Biological Sciences. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-02B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0054 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001180
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |