U.S. Department of EnergyOffice of Scientific and Technical Information
High-throughput sequencing and metabolomics enabled phenomics to investigate integration of heat and circadian responses in the model green alga Chlamydomonas reinhardtii
- Authors:
-
- Donald Danforth Plant Science Center; Lawrence Berkeley Laboratory/Joint Genome Institute (JGI)
- Publication Date:
- Other Number(s):
- 503414
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- DOE Joint Genome Institute
- Sponsoring Org.:
- DOE Joint Genome Institute
- OSTI Identifier:
- 1488190
- DOI:
- https://doi.org/10.25585/1488190
Citation Formats
Zhang, Ru. High-throughput sequencing and metabolomics enabled phenomics to investigate integration of heat and circadian responses in the model green alga Chlamydomonas reinhardtii. United States: N. p., 2017.
Web. doi:10.25585/1488190.
Zhang, Ru. High-throughput sequencing and metabolomics enabled phenomics to investigate integration of heat and circadian responses in the model green alga Chlamydomonas reinhardtii. United States. doi:https://doi.org/10.25585/1488190
Zhang, Ru. 2017.
"High-throughput sequencing and metabolomics enabled phenomics to investigate integration of heat and circadian responses in the model green alga Chlamydomonas reinhardtii". United States. doi:https://doi.org/10.25585/1488190. https://www.osti.gov/servlets/purl/1488190. Pub date:Fri Aug 18 00:00:00 EDT 2017
@article{osti_1488190,
title = {High-throughput sequencing and metabolomics enabled phenomics to investigate integration of heat and circadian responses in the model green alga Chlamydomonas reinhardtii},
author = {Zhang, Ru},
abstractNote = {},
doi = {10.25585/1488190},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Aug 18 00:00:00 EDT 2017},
month = {Fri Aug 18 00:00:00 EDT 2017}
}
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