Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/239043
DC Field | Value | |
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dc.title | INTEGRATED ANALYSIS PIPELINE FOR UNBIASED CHIP-SEQ ANALYSIS | |
dc.contributor.author | JEREMIAH SURYATENGGARA | |
dc.date.accessioned | 2023-04-30T18:00:29Z | |
dc.date.available | 2023-04-30T18:00:29Z | |
dc.date.issued | 2022-11-18 | |
dc.identifier.citation | JEREMIAH SURYATENGGARA (2022-11-18). INTEGRATED ANALYSIS PIPELINE FOR UNBIASED CHIP-SEQ ANALYSIS. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/239043 | |
dc.description.abstract | ChIP-AP, an integrated ChIP-seq analysis pipeline, utilizes multiple independent peak callers to solve inconsistencies in ChIP-seq analysis caused by the erratic performances of peak calling algorithms in diverse dataset characteristics. | |
dc.language.iso | en | |
dc.subject | Bioinformatics, Computational Biology, ChIP-seq, Comprehensive Analysis, Automated Pipeline, Multiple Peak Callers | |
dc.type | Thesis | |
dc.contributor.department | DEAN'S OFFICE (NUS GRADUATE SCHOOL) | |
dc.contributor.supervisor | Daniel G. Tenen | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY (NUSGS) | |
dc.identifier.orcid | 0009-0004-5589-4010 | |
Appears in Collections: | Ph.D Theses (Open) |
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SuryatenggaraJ.pdf | 6.44 MB | Adobe PDF | OPEN | None | View/Download |
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