287 related articles for article (PubMed ID: 25788625)
1. Efficient visualization of high-throughput targeted proteomics experiments: TAPIR.
Röst HL; Rosenberger G; Aebersold R; Malmström L
Bioinformatics; 2015 Jul; 31(14):2415-7. PubMed ID: 25788625
[TBL] [Abstract][Full Text] [Related]
2. pyOpenMS: a Python-based interface to the OpenMS mass-spectrometry algorithm library.
Röst HL; Schmitt U; Aebersold R; Malmström L
Proteomics; 2014 Jan; 14(1):74-7. PubMed ID: 24420968
[TBL] [Abstract][Full Text] [Related]
3. Fast and Efficient XML Data Access for Next-Generation Mass Spectrometry.
Röst HL; Schmitt U; Aebersold R; Malmström L
PLoS One; 2015; 10(4):e0125108. PubMed ID: 25927999
[TBL] [Abstract][Full Text] [Related]
4. AlphaPeptStats: an open-source Python package for automated and scalable statistical analysis of mass spectrometry-based proteomics.
Krismer E; Bludau I; Strauss MT; Mann M
Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37527012
[TBL] [Abstract][Full Text] [Related]
5. PRIDE Inspector Toolsuite: Moving Toward a Universal Visualization Tool for Proteomics Data Standard Formats and Quality Assessment of ProteomeXchange Datasets.
Perez-Riverol Y; Xu QW; Wang R; Uszkoreit J; Griss J; Sanchez A; Reisinger F; Csordas A; Ternent T; Del-Toro N; Dianes JA; Eisenacher M; Hermjakob H; Vizcaíno JA
Mol Cell Proteomics; 2016 Jan; 15(1):305-17. PubMed ID: 26545397
[TBL] [Abstract][Full Text] [Related]
6. Automated SWATH Data Analysis Using Targeted Extraction of Ion Chromatograms.
Röst HL; Aebersold R; Schubert OT
Methods Mol Biol; 2017; 1550():289-307. PubMed ID: 28188537
[TBL] [Abstract][Full Text] [Related]
7. PDV: an integrative proteomics data viewer.
Li K; Vaudel M; Zhang B; Ren Y; Wen B
Bioinformatics; 2019 Apr; 35(7):1249-1251. PubMed ID: 30169737
[TBL] [Abstract][Full Text] [Related]
8. psims - A Declarative Writer for mzML and mzIdentML for Python.
Klein J; Zaia J
Mol Cell Proteomics; 2019 Mar; 18(3):571-575. PubMed ID: 30563850
[TBL] [Abstract][Full Text] [Related]
9. ProteomeCommons.org IO Framework: reading and writing multiple proteomics data formats.
Falkner JA; Falkner JW; Andrews PC
Bioinformatics; 2007 Jan; 23(2):262-3. PubMed ID: 17121776
[TBL] [Abstract][Full Text] [Related]
10. DIAlignR Provides Precise Retention Time Alignment Across Distant Runs in DIA and Targeted Proteomics.
Gupta S; Ahadi S; Zhou W; Röst H
Mol Cell Proteomics; 2019 Apr; 18(4):806-817. PubMed ID: 30705124
[TBL] [Abstract][Full Text] [Related]
11. MassDash: A Web-Based Dashboard for Data-Independent Acquisition Mass Spectrometry Visualization.
Sing JC; Charkow J; AlHigaylan M; Horecka I; Xu L; Röst HL
J Proteome Res; 2024 Jun; 23(6):2306-2314. PubMed ID: 38684072
[TBL] [Abstract][Full Text] [Related]
12. Visualization of LC-MS/MS proteomics data in MaxQuant.
Tyanova S; Temu T; Carlson A; Sinitcyn P; Mann M; Cox J
Proteomics; 2015 Apr; 15(8):1453-6. PubMed ID: 25644178
[TBL] [Abstract][Full Text] [Related]
13. JAMSS: proteomics mass spectrometry simulation in Java.
Smith R; Prince JT
Bioinformatics; 2015 Mar; 31(5):791-3. PubMed ID: 25371478
[TBL] [Abstract][Full Text] [Related]
14. MS-REDUCE: an ultrafast technique for reduction of big mass spectrometry data for high-throughput processing.
Awan MG; Saeed F
Bioinformatics; 2016 May; 32(10):1518-26. PubMed ID: 26801958
[TBL] [Abstract][Full Text] [Related]
15. xiSPEC: web-based visualization, analysis and sharing of proteomics data.
Kolbowski L; Combe C; Rappsilber J
Nucleic Acids Res; 2018 Jul; 46(W1):W473-W478. PubMed ID: 29741719
[TBL] [Abstract][Full Text] [Related]
16. Patpat: a public proteomics dataset search framework.
Liao W; Zhang X
Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36744907
[TBL] [Abstract][Full Text] [Related]
17. TOPPView: an open-source viewer for mass spectrometry data.
Sturm M; Kohlbacher O
J Proteome Res; 2009 Jul; 8(7):3760-3. PubMed ID: 19425593
[TBL] [Abstract][Full Text] [Related]
18.
Wolski WE; Nanni P; Grossmann J; d'Errico M; Schlapbach R; Panse C
J Proteome Res; 2023 Apr; 22(4):1092-1104. PubMed ID: 36939687
[TBL] [Abstract][Full Text] [Related]
19. TOPP--the OpenMS proteomics pipeline.
Kohlbacher O; Reinert K; Gröpl C; Lange E; Pfeifer N; Schulz-Trieglaff O; Sturm M
Bioinformatics; 2007 Jan; 23(2):e191-7. PubMed ID: 17237091
[TBL] [Abstract][Full Text] [Related]
20. Highly accelerated feature detection in proteomics data sets using modern graphics processing units.
Hussong R; Gregorius B; Tholey A; Hildebrandt A
Bioinformatics; 2009 Aug; 25(15):1937-43. PubMed ID: 19447788
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
