000002249 001__ 2249
000002249 005__ 20250424232720.0
000002249 0247_ $$2DOI$$a10.6083/M47D2SDS
000002249 037__ $$aETD
000002249 041__ $$aeng
000002249 245__ $$aDevelopment and validation of in silico tools for the identification of post-translational modifications and sequence variations in human proteins
000002249 260__ $$bOregon Health and Science University
000002249 269__ $$a2005
000002249 336__ $$aThesis
000002249 502__ $$gBioinformatics & Computational Biomedicine
000002249 502__ $$bM.S.
000002249 520__ $$aMass spectrometry has become a vital tool in the field of proteomics. This technique enables the study of proteins on a much larger scale, facilitating further biological insights. However, there is a need for advanced algorithms that can accurately interpret mass spectrometry data and reliably identify proteins, including post-translational modifications and sequence variations present in a sample. One major issue with current algorithms is their frequent inability to detect unexpected post-translational modifications and sequence variations in proteins. To address this challenge, we present a novel mass-based alignment algorithm implemented in OpenSea. This algorithm utilizes de novo sequencing results to robustly identify post-translational modifications and sequence variations in proteins.
000002249 536__ $$oNIH$$cU19ES11384; U24DK5870
000002249 540__ $$fCC BY
000002249 542__ $$fIn copyright - single owner
000002249 650__ $$aSequence Analysis, Protein$$032477
000002249 650__ $$aMedical Informatics$$021938
000002249 650__ $$aAlgorithms$$014437
000002249 650__ $$aProtein Processing, Post-Translational$$024757
000002249 650__ $$aMass Spectrometry$$026224
000002249 650__ $$aProteins
000002249 650__ $$aProteomics$$035059
000002249 691__ $$aSchool of Medicine$$041369
000002249 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000002249 7001_ $$aDasari, Surendra$$uOregon Health and Science University$$041354
000002249 7201_ $$aDubay, Christopher$$uOregon Health and Science University$$041354$$eAdvisor$$7Personal
000002249 8564_ $$9c30a9619-73fc-43d6-b444-14b5a6368724$$s1743811$$uhttps://digitalcollections.ohsu.edu/record/2249/files/2978_etd.pdf$$ePublic$$2bdcac8808246711c3399de46ecadd27f$$31
000002249 905__ $$a/rest/prod/wp/98/8j/99/wp988j99n
000002249 909CO $$ooai:digitalcollections.ohsu.edu:2249$$pstudent-work
000002249 980__ $$aTheses and Dissertations