363 related articles for article (PubMed ID: 22583024)
41. Proteomic feature maps: a new visualization approach in proteomics analysis.
Giannopoulou EG; Garbis SD; Vlahou A; Kossida S; Lepouras G; Manolakos ES
J Biomed Inform; 2009 Aug; 42(4):644-53. PubMed ID: 19535004
[TBL] [Abstract][Full Text] [Related]
42. IQuant: an automated pipeline for quantitative proteomics based upon isobaric tags.
Wen B; Zhou R; Feng Q; Wang Q; Wang J; Liu S
Proteomics; 2014 Oct; 14(20):2280-5. PubMed ID: 25069810
[TBL] [Abstract][Full Text] [Related]
43. A practical data processing workflow for multi-OMICS projects.
Kohl M; Megger DA; Trippler M; Meckel H; Ahrens M; Bracht T; Weber F; Hoffmann AC; Baba HA; Sitek B; Schlaak JF; Meyer HE; Stephan C; Eisenacher M
Biochim Biophys Acta; 2014 Jan; 1844(1 Pt A):52-62. PubMed ID: 23501674
[TBL] [Abstract][Full Text] [Related]
44. StPeter: Seamless Label-Free Quantification with the Trans-Proteomic Pipeline.
Hoopmann MR; Winget JM; Mendoza L; Moritz RL
J Proteome Res; 2018 Mar; 17(3):1314-1320. PubMed ID: 29400476
[TBL] [Abstract][Full Text] [Related]
45. APOSTL: An Interactive Galaxy Pipeline for Reproducible Analysis of Affinity Proteomics Data.
Kuenzi BM; Borne AL; Li J; Haura EB; Eschrich SA; Koomen JM; Rix U; Stewart PA
J Proteome Res; 2016 Dec; 15(12):4747-4754. PubMed ID: 27680298
[TBL] [Abstract][Full Text] [Related]
46. Automated workflow composition in mass spectrometry-based proteomics.
Palmblad M; Lamprecht AL; Ison J; Schwämmle V
Bioinformatics; 2019 Feb; 35(4):656-664. PubMed ID: 30060113
[TBL] [Abstract][Full Text] [Related]
47. APE in the Wild: Automated Exploration of Proteomics Workflows in the bio.tools Registry.
Kasalica V; Schwämmle V; Palmblad M; Ison J; Lamprecht AL
J Proteome Res; 2021 Apr; 20(4):2157-2165. PubMed ID: 33720735
[TBL] [Abstract][Full Text] [Related]
48. HiQuant: Rapid Postquantification Analysis of Large-Scale MS-Generated Proteomics Data.
Bryan K; Jarboui MA; Raso C; Bernal-Llinares M; McCann B; Rauch J; Boldt K; Lynn DJ
J Proteome Res; 2016 Jun; 15(6):2072-9. PubMed ID: 27086506
[TBL] [Abstract][Full Text] [Related]
49. Platforms and Pipelines for Proteomics Data Analysis and Management.
Codrea MC; Nahnsen S
Adv Exp Med Biol; 2016; 919():203-215. PubMed ID: 27975218
[TBL] [Abstract][Full Text] [Related]
50. Management and dissemination of MS proteomic data with PROTICdb: example of a quantitative comparison between methods of protein extraction.
Langella O; Valot B; Jacob D; Balliau T; Flores R; Hoogland C; Joets J; Zivy M
Proteomics; 2013 May; 13(9):1457-66. PubMed ID: 23468041
[TBL] [Abstract][Full Text] [Related]
51. Scientific workflow optimization for improved peptide and protein identification.
Holl S; Mohammed Y; Zimmermann O; Palmblad M
BMC Bioinformatics; 2015 Sep; 16(1):284. PubMed ID: 26335531
[TBL] [Abstract][Full Text] [Related]
52. MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments.
Choi M; Chang CY; Clough T; Broudy D; Killeen T; MacLean B; Vitek O
Bioinformatics; 2014 Sep; 30(17):2524-6. PubMed ID: 24794931
[TBL] [Abstract][Full Text] [Related]
53. 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]
54. MiCId GUI: The Graphical User Interface for MiCId, a Fast Microorganism Classification and Identification Workflow with Accurate Statistics and High Recall.
Ogurtsov A; Alves G; Rubio A; Joyce B; Andersson B; Karlsson R; Moore ERB; Yu YK
J Comput Biol; 2024 Feb; 31(2):175-178. PubMed ID: 38301204
[TBL] [Abstract][Full Text] [Related]
55. Workflows for microarray data processing in the Kepler environment.
Stropp T; McPhillips T; Ludäscher B; Bieda M
BMC Bioinformatics; 2012 May; 13():102. PubMed ID: 22594911
[TBL] [Abstract][Full Text] [Related]
56. DDASSQ: An open-source, multiple peptide sequencing strategy for label free quantification based on an OpenMS pipeline in the KNIME analytics platform.
Svecla M; Garrone G; Faré F; Aletti G; Norata GD; Beretta G
Proteomics; 2021 Aug; 21(16):e2000319. PubMed ID: 34312990
[TBL] [Abstract][Full Text] [Related]
57. ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring mass spectrometry.
Brusniak MY; Kwok ST; Christiansen M; Campbell D; Reiter L; Picotti P; Kusebauch U; Ramos H; Deutsch EW; Chen J; Moritz RL; Aebersold R
BMC Bioinformatics; 2011 Mar; 12():78. PubMed ID: 21414234
[TBL] [Abstract][Full Text] [Related]
58. Proline: an efficient and user-friendly software suite for large-scale proteomics.
Bouyssié D; Hesse AM; Mouton-Barbosa E; Rompais M; Macron C; Carapito C; Gonzalez de Peredo A; Couté Y; Dupierris V; Burel A; Menetrey JP; Kalaitzakis A; Poisat J; Romdhani A; Burlet-Schiltz O; Cianférani S; Garin J; Bruley C
Bioinformatics; 2020 May; 36(10):3148-3155. PubMed ID: 32096818
[TBL] [Abstract][Full Text] [Related]
59. Neuroimaging study designs, computational analyses and data provenance using the LONI pipeline.
Dinov I; Lozev K; Petrosyan P; Liu Z; Eggert P; Pierce J; Zamanyan A; Chakrapani S; Van Horn J; Parker DS; Magsipoc R; Leung K; Gutman B; Woods R; Toga A
PLoS One; 2010 Sep; 5(9):. PubMed ID: 20927408
[TBL] [Abstract][Full Text] [Related]
60. msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies.
Hoekman B; Breitling R; Suits F; Bischoff R; Horvatovich P
Mol Cell Proteomics; 2012 Jun; 11(6):M111.015974. PubMed ID: 22318370
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]