Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/345644
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Development of intelligent Algorithms for analyzing Transcription factor binding site in Protein binding microarray data | |
dc.date.accessioned | 2021-10-26T05:54:41Z | - |
dc.date.available | 2021-10-26T05:54:41Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/345644 | - |
dc.description.abstract | Identification of Transcription Factor Binding Site (TFBS) in a Deoxyribonucleic Acid (DNA) sequence is a challenging task in building the motif model since, proteins can bind to DNA with different binding intensities. Protein Binding Microarray (PBM) technology is developed to measure the binding preference of a protein on a large scale to a complete set of k-mers in vitro. Hence, many researchers have applied this PBM technique onto many Transcription Factors (TFs), and as a result, a large amount of PBM data has been accumulated and deposited into the Uniprobe database. The PBM is a robust methodology that provides a sensitive and flexible platform to examine TF DNA binding specificity and allows us to determine the DNA binding specificity of proteins in an easy way. newline | |
dc.format.extent | xix, 106p | |
dc.language | English | |
dc.relation | p.98-105 | |
dc.rights | university | |
dc.title | Development of intelligent Algorithms for analyzing Transcription factor binding site in Protein binding microarray data | |
dc.title.alternative | ||
dc.creator.researcher | Shaik Hussain, S I | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Transcription | |
dc.subject.keyword | microarray | |
dc.description.note | ||
dc.contributor.guide | Rani, C | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2020 | |
dc.date.awarded | 2020 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 18.92 kB | Adobe PDF | View/Open |
02_certificates.pdf | 29.18 kB | Adobe PDF | View/Open | |
03_vivaproceedings.pdf | 64.54 kB | Adobe PDF | View/Open | |
04_bonafidecertificate.pdf | 40.74 kB | Adobe PDF | View/Open | |
05_abstracts.pdf | 138.08 kB | Adobe PDF | View/Open | |
06_acknowledgements.pdf | 42.78 kB | Adobe PDF | View/Open | |
07_contents.pdf | 288.13 kB | Adobe PDF | View/Open | |
08_listoftables.pdf | 141.58 kB | Adobe PDF | View/Open | |
09_listoffigures.pdf | 147.67 kB | Adobe PDF | View/Open | |
10_listofabbreviations.pdf | 17.41 kB | Adobe PDF | View/Open | |
11_chapter1.pdf | 343.51 kB | Adobe PDF | View/Open | |
12_chapter2.pdf | 269.99 kB | Adobe PDF | View/Open | |
13_chapter3.pdf | 560.68 kB | Adobe PDF | View/Open | |
14_chapter4.pdf | 642.35 kB | Adobe PDF | View/Open | |
15_chapter5.pdf | 885.91 kB | Adobe PDF | View/Open | |
16_chapter6.pdf | 68.93 kB | Adobe PDF | View/Open | |
17_conclusion.pdf | 24.28 kB | Adobe PDF | View/Open | |
18_references.pdf | 180.87 kB | Adobe PDF | View/Open | |
19_listofpublications.pdf | 122.53 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 40.61 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: