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1 Ergebnisse
1
Encoding Genetic Circuits with DNA Barcodes Paves the Way f..:
Yikang Zhou (11195205)
;
Yaomeng Yuan (12016042)
;
Yinan Wu (1320879)
...
https://figshare.com/articles/journal_contribution/Encoding_Genetic_Circuits_with_DNA_Barcodes_Paves_the_Way_for_Machine_Learning-Assisted_Metabolite_Biosensor_Response_Curve_Profiling_in_Yeast/19090174. , 2022
Link:
https://doi.org/10.1021/acssynbio.1c00595.s001
RT Journal T1
Encoding Genetic Circuits with DNA Barcodes Paves the Way for Machine Learning-Assisted Metabolite Biosensor Response Curve Profiling in Yeast
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_19090174&Exemplar=1&LAN=DE A1 Yikang Zhou (11195205) A1 Yaomeng Yuan (12016042) A1 Yinan Wu (1320879) A1 Lu Li (14069) A1 Aysha Jameel (3170349) A1 Xin-Hui Xing (3498017) A1 Chong Zhang (418677) YR 2022 K1 Microbiology K1 Genetics K1 Molecular Biology K1 Biotechnology K1 Plant Biology K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 transcription factor dosage K1 still remains challenging K1 shows great potential K1 panoramic scanning map K1 massively parallel manner K1 dna barcodes paves K1 trackable combinatorial library K1 valuable tools used K1 encoding genetic circuits K1 containing 5184 combinations K1 biosensor response curves K1 response curves K1 genetic circuits K1 5184 combinations K1 combinatorial space K1 coa biosensor K1 uncharacterized combinations K1 various scenarios K1 taken together K1 successfully obtained K1 successfully characterized K1 significant impact K1 provide large K1 precise engineering K1 pipeline provides K1 novel workflow K1 learning algorithms K1 large number K1 generation sequencing K1 fapr -< K1 fapo -</ K1 dynamic range K1 comprehensive characterization K1 6 levels JF https://figshare.com/articles/journal_contribution/Encoding_Genetic_Circuits_with_DNA_Barcodes_Paves_the_Way_for_Machine_Learning-Assisted_Metabolite_Biosensor_Response_Curve_Profiling_in_Yeast/19090174 LK http://dx.doi.org/https://doi.org/10.1021/acssynbio.1c00595.s001 DO https://doi.org/10.1021/acssynbio.1c00595.s001 SF ELIB - SuUB Bremen
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