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You searched for +publisher:"University of Southern California" +contributor:("Mak, Chiho"). Showing records 1 – 4 of 4 total matches.

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University of Southern California

1. Nguyen, Phuong H. Enhanced site-directed spin labeling technique for monitoring RNA dynamics with rigid nitroxides.

Degree: PhD, Chemistry, 2014, University of Southern California

 Site-directed spin labeling (SDSL) is a biophysical technique that uses electron paramagnetic resonance spectroscopy to monitor a spin label, which in a majority of cases… (more)

Subjects/Keywords: rigid nitroxides; EPR; SDSL; RNA; dynamics; nanosecond

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APA (6th Edition):

Nguyen, P. H. (2014). Enhanced site-directed spin labeling technique for monitoring RNA dynamics with rigid nitroxides. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/470561/rec/2377

Chicago Manual of Style (16th Edition):

Nguyen, Phuong H. “Enhanced site-directed spin labeling technique for monitoring RNA dynamics with rigid nitroxides.” 2014. Doctoral Dissertation, University of Southern California. Accessed April 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/470561/rec/2377.

MLA Handbook (7th Edition):

Nguyen, Phuong H. “Enhanced site-directed spin labeling technique for monitoring RNA dynamics with rigid nitroxides.” 2014. Web. 21 Apr 2019.

Vancouver:

Nguyen PH. Enhanced site-directed spin labeling technique for monitoring RNA dynamics with rigid nitroxides. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Apr 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/470561/rec/2377.

Council of Science Editors:

Nguyen PH. Enhanced site-directed spin labeling technique for monitoring RNA dynamics with rigid nitroxides. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/470561/rec/2377


University of Southern California

2. Ding, Yuan. Site-directed spin labeling studies of sequence-dependent DNA shape and protein-DNA recognition.

Degree: PhD, Chemistry, 2017, University of Southern California

 Deoxyribonucleic acid (DNA) is responsible for storage and transmission of genetic information. An essential aspect fulfilling this crucial function is the specific interactions (recognitions) of… (more)

Subjects/Keywords: EPR; SDSL; DNA shape; protein-DNA recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ding, Y. (2017). Site-directed spin labeling studies of sequence-dependent DNA shape and protein-DNA recognition. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/598186/rec/5869

Chicago Manual of Style (16th Edition):

Ding, Yuan. “Site-directed spin labeling studies of sequence-dependent DNA shape and protein-DNA recognition.” 2017. Doctoral Dissertation, University of Southern California. Accessed April 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/598186/rec/5869.

MLA Handbook (7th Edition):

Ding, Yuan. “Site-directed spin labeling studies of sequence-dependent DNA shape and protein-DNA recognition.” 2017. Web. 21 Apr 2019.

Vancouver:

Ding Y. Site-directed spin labeling studies of sequence-dependent DNA shape and protein-DNA recognition. [Internet] [Doctoral dissertation]. University of Southern California; 2017. [cited 2019 Apr 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/598186/rec/5869.

Council of Science Editors:

Ding Y. Site-directed spin labeling studies of sequence-dependent DNA shape and protein-DNA recognition. [Doctoral Dissertation]. University of Southern California; 2017. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/598186/rec/5869


University of Southern California

3. Bahrami‐Samani, Emad. Probabilistic modeling and data integration to examine RNA-protein interactions.

Degree: PhD, Computational Biology and Bioinformatics, 2015, University of Southern California

 High-throughput protein‐RNA interaction data generated by CLIP‐seq has provided an unprecedented depth of access to the activities of RNA‐binding proteins (RBPs), the key players in… (more)

Subjects/Keywords: motif discovery; probabilistic models; RNA‐binding proteins; CLIP‐seq

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bahrami‐Samani, E. (2015). Probabilistic modeling and data integration to examine RNA-protein interactions. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/560478/rec/5236

Chicago Manual of Style (16th Edition):

Bahrami‐Samani, Emad. “Probabilistic modeling and data integration to examine RNA-protein interactions.” 2015. Doctoral Dissertation, University of Southern California. Accessed April 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/560478/rec/5236.

MLA Handbook (7th Edition):

Bahrami‐Samani, Emad. “Probabilistic modeling and data integration to examine RNA-protein interactions.” 2015. Web. 21 Apr 2019.

Vancouver:

Bahrami‐Samani E. Probabilistic modeling and data integration to examine RNA-protein interactions. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Apr 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/560478/rec/5236.

Council of Science Editors:

Bahrami‐Samani E. Probabilistic modeling and data integration to examine RNA-protein interactions. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/560478/rec/5236


University of Southern California

4. Chang, Yi Chen. Modeling graphene: magnetic, transport and optical properties.

Degree: PhD, Physics, 2012, University of Southern California

 Graphene, with its unique linear dispersion near the Fermi energy, has attracted great attention since its successful isolation from highly oriented pyrolytic graphite in 2004.… (more)

Subjects/Keywords: graphene; Hubbard model; tight binding model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chang, Y. C. (2012). Modeling graphene: magnetic, transport and optical properties. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/45733/rec/4128

Chicago Manual of Style (16th Edition):

Chang, Yi Chen. “Modeling graphene: magnetic, transport and optical properties.” 2012. Doctoral Dissertation, University of Southern California. Accessed April 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/45733/rec/4128.

MLA Handbook (7th Edition):

Chang, Yi Chen. “Modeling graphene: magnetic, transport and optical properties.” 2012. Web. 21 Apr 2019.

Vancouver:

Chang YC. Modeling graphene: magnetic, transport and optical properties. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Apr 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/45733/rec/4128.

Council of Science Editors:

Chang YC. Modeling graphene: magnetic, transport and optical properties. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/45733/rec/4128

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