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You searched for +publisher:"Rutgers University" +contributor:("Sengupta, Anirvan M"). Showing records 1 – 9 of 9 total matches.

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1. Apratim, Manjul, 1984-. On the physical and chemical dynamics of chromatin.

Degree: Physics and Astronomy, 2012, Rutgers University

Subjects/Keywords: Chromatin; Eukaryotic cells – Research

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

APA (6th Edition):

Apratim, Manjul, 1. (2012). On the physical and chemical dynamics of chromatin. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000066601

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Apratim, Manjul, 1984-. “On the physical and chemical dynamics of chromatin.” 2012. Thesis, Rutgers University. Accessed January 15, 2021. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000066601.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Apratim, Manjul, 1984-. “On the physical and chemical dynamics of chromatin.” 2012. Web. 15 Jan 2021.

Vancouver:

Apratim, Manjul 1. On the physical and chemical dynamics of chromatin. [Internet] [Thesis]. Rutgers University; 2012. [cited 2021 Jan 15]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000066601.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Apratim, Manjul 1. On the physical and chemical dynamics of chromatin. [Thesis]. Rutgers University; 2012. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000066601

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

2. Bhatia, Aatish, 1985-. Detecting signatures of natural selection in genetic data.

Degree: Physics and Astronomy, 2013, Rutgers University

Subjects/Keywords: Natural selection; Variation (Biology); Genetics; Maasai (African people) – Food

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

APA (6th Edition):

Bhatia, Aatish, 1. (2013). Detecting signatures of natural selection in genetic data. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/41725/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bhatia, Aatish, 1985-. “Detecting signatures of natural selection in genetic data.” 2013. Thesis, Rutgers University. Accessed January 15, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/41725/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bhatia, Aatish, 1985-. “Detecting signatures of natural selection in genetic data.” 2013. Web. 15 Jan 2021.

Vancouver:

Bhatia, Aatish 1. Detecting signatures of natural selection in genetic data. [Internet] [Thesis]. Rutgers University; 2013. [cited 2021 Jan 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41725/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bhatia, Aatish 1. Detecting signatures of natural selection in genetic data. [Thesis]. Rutgers University; 2013. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41725/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

3. Chereji, Răzvan V., 1983-. Statistical mechanics of nucleosomes.

Degree: Physics and Astronomy, 2013, Rutgers University

Subjects/Keywords: Eukaryotic cells – Genetics; Genetic regulation

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

APA (6th Edition):

Chereji, Răzvan V., 1. (2013). Statistical mechanics of nucleosomes. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/41749/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chereji, Răzvan V., 1983-. “Statistical mechanics of nucleosomes.” 2013. Thesis, Rutgers University. Accessed January 15, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/41749/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chereji, Răzvan V., 1983-. “Statistical mechanics of nucleosomes.” 2013. Web. 15 Jan 2021.

Vancouver:

Chereji, Răzvan V. 1. Statistical mechanics of nucleosomes. [Internet] [Thesis]. Rutgers University; 2013. [cited 2021 Jan 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41749/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chereji, Răzvan V. 1. Statistical mechanics of nucleosomes. [Thesis]. Rutgers University; 2013. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41749/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

4. Dai, Wei. First passage times and relaxation times of unfolded proteins and the funnel model of protein folding.

Degree: PhD, Physics and Astronomy, 2016, Rutgers University

Protein folding has been a challenging puzzle for decades but it is still not fully understood. One important way to gain insights of the mechanism… (more)

Subjects/Keywords: Protein folding; Markov processes

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

APA (6th Edition):

Dai, W. (2016). First passage times and relaxation times of unfolded proteins and the funnel model of protein folding. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/49952/

Chicago Manual of Style (16th Edition):

Dai, Wei. “First passage times and relaxation times of unfolded proteins and the funnel model of protein folding.” 2016. Doctoral Dissertation, Rutgers University. Accessed January 15, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/49952/.

MLA Handbook (7th Edition):

Dai, Wei. “First passage times and relaxation times of unfolded proteins and the funnel model of protein folding.” 2016. Web. 15 Jan 2021.

Vancouver:

Dai W. First passage times and relaxation times of unfolded proteins and the funnel model of protein folding. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2021 Jan 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49952/.

Council of Science Editors:

Dai W. First passage times and relaxation times of unfolded proteins and the funnel model of protein folding. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49952/


Rutgers University

5. Manhart, Michael. Biophysics and stochastic processes in molecular evolution.

Degree: PhD, Physics and Astronomy, 2014, Rutgers University

Evolution is the defining feature of living matter. It occurs most fundamentally on the scale of biomolecules such as DNA and proteins, which carry out… (more)

Subjects/Keywords: Molecular evolution; Evolution (Biology); Protein folding

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

APA (6th Edition):

Manhart, M. (2014). Biophysics and stochastic processes in molecular evolution. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45338/

Chicago Manual of Style (16th Edition):

Manhart, Michael. “Biophysics and stochastic processes in molecular evolution.” 2014. Doctoral Dissertation, Rutgers University. Accessed January 15, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/45338/.

MLA Handbook (7th Edition):

Manhart, Michael. “Biophysics and stochastic processes in molecular evolution.” 2014. Web. 15 Jan 2021.

Vancouver:

Manhart M. Biophysics and stochastic processes in molecular evolution. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2021 Jan 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45338/.

Council of Science Editors:

Manhart M. Biophysics and stochastic processes in molecular evolution. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45338/


Rutgers University

6. Ramezanali, Mohammad. Extracting sparse signals from high-dimensional data: a statistical mechanics approach.

Degree: PhD, Physics and Astronomy, 2015, Rutgers University

Sparse reconstruction algorithms aim to retrieve high-dimensional sparse signals from a limited amount of measurements under suitable conditions. As the number of variables go to… (more)

Subjects/Keywords: Statistical mechanics

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

APA (6th Edition):

Ramezanali, M. (2015). Extracting sparse signals from high-dimensional data: a statistical mechanics approach. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48628/

Chicago Manual of Style (16th Edition):

Ramezanali, Mohammad. “Extracting sparse signals from high-dimensional data: a statistical mechanics approach.” 2015. Doctoral Dissertation, Rutgers University. Accessed January 15, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/48628/.

MLA Handbook (7th Edition):

Ramezanali, Mohammad. “Extracting sparse signals from high-dimensional data: a statistical mechanics approach.” 2015. Web. 15 Jan 2021.

Vancouver:

Ramezanali M. Extracting sparse signals from high-dimensional data: a statistical mechanics approach. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2021 Jan 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48628/.

Council of Science Editors:

Ramezanali M. Extracting sparse signals from high-dimensional data: a statistical mechanics approach. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48628/


Rutgers University

7. Traldi, Eliane Zerbetto, 1975-. Modeling regulation of transcription initiation.

Degree: Computational Biology and Molecular Biophysics, 2011, Rutgers University

Subjects/Keywords: Genetic transcription—Regulation; RNA—Synthesis

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

APA (6th Edition):

Traldi, Eliane Zerbetto, 1. (2011). Modeling regulation of transcription initiation. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063670

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Traldi, Eliane Zerbetto, 1975-. “Modeling regulation of transcription initiation.” 2011. Thesis, Rutgers University. Accessed January 15, 2021. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063670.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Traldi, Eliane Zerbetto, 1975-. “Modeling regulation of transcription initiation.” 2011. Web. 15 Jan 2021.

Vancouver:

Traldi, Eliane Zerbetto 1. Modeling regulation of transcription initiation. [Internet] [Thesis]. Rutgers University; 2011. [cited 2021 Jan 15]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063670.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Traldi, Eliane Zerbetto 1. Modeling regulation of transcription initiation. [Thesis]. Rutgers University; 2011. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063670

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

8. Wagh, Kshitij. Studies in viral population genetics and bioinformatics.

Degree: Physics and Astronomy, 2013, Rutgers University

Subjects/Keywords: Viruses; Viral genetics; Viral genomes; Avian influenza A virus – Research

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

APA (6th Edition):

Wagh, K. (2013). Studies in viral population genetics and bioinformatics. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/41942/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wagh, Kshitij. “Studies in viral population genetics and bioinformatics.” 2013. Thesis, Rutgers University. Accessed January 15, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/41942/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wagh, Kshitij. “Studies in viral population genetics and bioinformatics.” 2013. Web. 15 Jan 2021.

Vancouver:

Wagh K. Studies in viral population genetics and bioinformatics. [Internet] [Thesis]. Rutgers University; 2013. [cited 2021 Jan 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41942/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wagh K. Studies in viral population genetics and bioinformatics. [Thesis]. Rutgers University; 2013. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41942/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

9. Yung, Long Yan Aaron, 1992-. Semi-analytic forecasts for galaxy formation and cosmic reionization in the ultrahigh-redshift universe.

Degree: PhD, Cosmic reionization, 2020, Rutgers University

Concerning the early evolution history of our universe and distant galaxies that are expected to be uncovered with future telescopes, we present a collection of… (more)

Subjects/Keywords: Physics and Astronomy

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

APA (6th Edition):

Yung, Long Yan Aaron, 1. (2020). Semi-analytic forecasts for galaxy formation and cosmic reionization in the ultrahigh-redshift universe. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/64847/

Chicago Manual of Style (16th Edition):

Yung, Long Yan Aaron, 1992-. “Semi-analytic forecasts for galaxy formation and cosmic reionization in the ultrahigh-redshift universe.” 2020. Doctoral Dissertation, Rutgers University. Accessed January 15, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/64847/.

MLA Handbook (7th Edition):

Yung, Long Yan Aaron, 1992-. “Semi-analytic forecasts for galaxy formation and cosmic reionization in the ultrahigh-redshift universe.” 2020. Web. 15 Jan 2021.

Vancouver:

Yung, Long Yan Aaron 1. Semi-analytic forecasts for galaxy formation and cosmic reionization in the ultrahigh-redshift universe. [Internet] [Doctoral dissertation]. Rutgers University; 2020. [cited 2021 Jan 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/64847/.

Council of Science Editors:

Yung, Long Yan Aaron 1. Semi-analytic forecasts for galaxy formation and cosmic reionization in the ultrahigh-redshift universe. [Doctoral Dissertation]. Rutgers University; 2020. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/64847/

.