U.S. Department of EnergyOffice of Scientific and Technical Information
Strand-specific RNAseq to identify transcription units and quantify gene expression during the fermentation of ethanologens in lignocellulosic hydrolysates produced from different biomass feedstocks and other multiomic fermentation experiments.
- Authors:
-
- University of Wisconsin Madison/GLBRC; Lawrence Berkeley Laboratory/Joint Genome Institute (JGI)
- Publication Date:
- Other Number(s):
- 1709
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- DOE Joint Genome Institute
- Sponsoring Org.:
- DOE Joint Genome Institute
- OSTI Identifier:
- 1487602
- DOI:
- https://doi.org/10.25585/1487602
Citation Formats
Zhang, Yaoping. Strand-specific RNAseq to identify transcription units and quantify gene expression during the fermentation of ethanologens in lignocellulosic hydrolysates produced from different biomass feedstocks and other multiomic fermentation experiments.. United States: N. p., 2014.
Web. doi:10.25585/1487602.
Zhang, Yaoping. Strand-specific RNAseq to identify transcription units and quantify gene expression during the fermentation of ethanologens in lignocellulosic hydrolysates produced from different biomass feedstocks and other multiomic fermentation experiments.. United States. doi:https://doi.org/10.25585/1487602
Zhang, Yaoping. 2014.
"Strand-specific RNAseq to identify transcription units and quantify gene expression during the fermentation of ethanologens in lignocellulosic hydrolysates produced from different biomass feedstocks and other multiomic fermentation experiments.". United States. doi:https://doi.org/10.25585/1487602. https://www.osti.gov/servlets/purl/1487602. Pub date:Wed May 14 04:00:00 UTC 2014
@article{osti_1487602,
title = {Strand-specific RNAseq to identify transcription units and quantify gene expression during the fermentation of ethanologens in lignocellulosic hydrolysates produced from different biomass feedstocks and other multiomic fermentation experiments.},
author = {Zhang, Yaoping},
abstractNote = {},
doi = {10.25585/1487602},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed May 14 04:00:00 UTC 2014},
month = {Wed May 14 04:00:00 UTC 2014}
}
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