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Trường DC | Giá trị | Ngôn ngữ |
---|---|---|
dc.contributor.author | Cranney, Caleb W. | - |
dc.date.accessioned | 2024-01-03T08:39:56Z | - |
dc.date.available | 2024-01-03T08:39:56Z | - |
dc.date.issued | 2023 | - |
dc.identifier.other | OER000002950 | vi |
dc.identifier.uri | http://dlib.hust.edu.vn/handle/HUST/23814 | - |
dc.description.abstract | New mass spectrometry data collection methods require new computational tools. Direct Infusion Shotgun Proteome Analysis (DISPA) is a new paradigm for expedited mass spectrometry-based proteomics, but the original data analysis workflow was onerous. Here we introduce CsoDIAq, a user-friendly software package for the identification and quantification of peptides and proteins from DISPA data. In addition to establishing a complete and automated analysis workflow with a graphical user interface, CsoDIAq introduces algorithmic concepts to improve peptide identification speed and sensitivity. These include spectra pooling to reduce search time complexity, and a new spectrum-spectrum match score called match count and cosine (MaCC), which improves target discrimination in a target-decoy analysis. We further show that reanalysis after fragment mass tolerance correction increased the number of peptide identifications. Finally, we adapt CsoDIAq to standard LC-MS DIA, and show that it outperforms other spectrum-spectrum matching software. | vi |
dc.description.uri | https://www.biorxiv.org/content/10.1101/2021.05.12.443833v1.full.pdf+html | vi |
dc.format | vi | |
dc.language.iso | en | vi |
dc.publisher | bioRxiv | vi |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Vietnam | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/vn/ | * |
dc.subject | Phần mềm | vi |
dc.subject | CsoDIAq | vi |
dc.subject | Proteome | vi |
dc.subject | trực tiếp | vi |
dc.subject.lcc | QH447 | vi |
dc.title | CsoDIAq Software for Direct Infusion Shotgun Proteome Analysis (DISPA) | vi |
dc.type | Journal article | vi |
dc.description.note | CC BY-NC-ND 4.0 | vi |
Trong bộ sưu tập: | OER - Kỹ thuật hóa học; Công nghệ sinh học - Thực phẩm; Công nghệ môi trường |
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