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Mahidol University Dissertations and Thesis (Mahidol e-Theses)
Dissertations
Computational prediction of RPOS-dependent promoters in burkholderia pseudomallie using proteomic profile information
Issued Date
2023
Copyright Date
2010
Language
eng
File Type
application/pdf
No. of Pages/File Size
xxi, 183 leaves : ill. (some col.)
Access Rights
restricted access
Rights Holder(s)
Mahidol University
Bibliographic Citation
Thesis (Ph.D. (Biochemistry))--Mahidol University, 2010
Suggested Citation
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IEEE
MLA
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Yupaporn Osiriphun
Computational prediction of RPOS-dependent promoters in burkholderia pseudomallie using proteomic profile information.
Thesis (Ph.D. (Biochemistry))--Mahidol University, 2010.
Retrieved from:
https://repository.li.mahidol.ac.th/handle/20.500.14594/89273
Title
Computational prediction of RPOS-dependent promoters in burkholderia pseudomallie using proteomic profile information
Alternative Title(s)
การใช้คอมพิวเตอร์วิเคราะห์โปรโมเตอร์ RPOS ในเชื้อเบอร์โคเดอเรียสูโดมาลลิอายจากข้อมูลทางโปรติโอมิก
Author(s)
Yupaporn Osiriphun
Advisor(s)
Sumalee Tungpradabkul
Pornpimol Rongnoparut
Degree Name
Doctor of Philosophy
Degree Level
Doctoral Degree
Degree Department
Faculty of Science
Degree Discipline
Biochemistry
Degree Grantor(s)
Mahidol University
Keyword(s)
Burkholderia pseudomallei
Proteomics
Computational biology
Markov processes
Availability
For Mahidol Only
URI
https://repository.li.mahidol.ac.th/handle/20.500.14594/89273
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