Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Louise U, Kurt"'
Autor:
Marlon D. M. Santos, Diogo B. Lima, Juliana S. G. Fischer, Milan A. Clasen, Louise U. Kurt, Amanda Caroline Camillo-Andrade, Leandro C. Monteiro, Priscila F. de Aquino, Ana G. C. Neves-Ferreira, Richard H. Valente, Monique R. O. Trugilho, Giselle V. F. Brunoro, Tatiana A. C. B. Souza, Renata M. Santos, Michel Batista, Fabio C. Gozzo, Rosario Durán, John R. Yates, Valmir C. Barbosa, Paulo C. Carvalho
Publikováno v:
Nature Protocols. 17:1553-1578
Autor:
Milan A Clasen, Louise U Kurt, Marlon D M Santos, Diogo B Lima, Fan Liu, Fabio C Gozzo, Valmir C Barbosa, Paulo C Carvalho
Publikováno v:
Bioinformatics. 38:5119-5120
Motivation Confident deconvolution of proteomic spectra is critical for several applications such as de novo sequencing, cross-linking mass spectrometry and handling chimeric mass spectra. Results In general, all deconvolution algorithms may eventual
Autor:
Luana O. dos Santos, Diogo B. Lima, Fabio C. Gozzo, Marlon D.M. Santos, Eduardo S B Lyra, Paulo C. Carvalho, Milan A. Clasen, Louise U. Kurt, Carlos H.I. Ramos
Publikováno v:
Bioinformatics. 37:3035-3037
Motivation Chemical cross-linking coupled to mass spectrometry (XLMS) emerged as a powerful technique for studying protein structures and large-scale protein-protein interactions. Nonetheless, XLMS lacks software tailored toward dealing with multiple
Autor:
Diogo B. Lima, Richard H. Valente, Julia Chamot-Rooke, Mathieu Dupré, Louise U. Kurt, André R.F. Silva, Carolina Alves Nicolau, Marlon D.M. Santos, Paulo C. Carvalho, Valmir C. Barbosa
Publikováno v:
Journal of Proteomics
Journal of Proteomics, 2021, 245, pp.104282. ⟨10.1016/j.jprot.2021.104282⟩
Journal of Proteomics, Elsevier, 2021, 245, pp.104282. ⟨10.1016/j.jprot.2021.104282⟩
Journal of Proteomics, 2021, 245, pp.104282. ⟨10.1016/j.jprot.2021.104282⟩
Journal of Proteomics, Elsevier, 2021, 245, pp.104282. ⟨10.1016/j.jprot.2021.104282⟩
International audience; In proteomics, the identification of peptides from mass spectral data can be mathematically described as the partitioning of mass spectra into clusters (i.e., groups of spectra derived from the same peptide). The way partition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ea2780cbea8e0fd751372f7f826237a
https://hal-pasteur.archives-ouvertes.fr/pasteur-03441752
https://hal-pasteur.archives-ouvertes.fr/pasteur-03441752
Autor:
Marlon D M, Santos, Diogo B, Lima, Juliana S G, Fischer, Milan A, Clasen, Louise U, Kurt, Amanda Caroline, Camillo-Andrade, Leandro C, Monteiro, Priscila F, de Aquino, Ana G C, Neves-Ferreira, Richard H, Valente, Monique R O, Trugilho, Giselle V F, Brunoro, Tatiana A C B, Souza, Renata M, Santos, Michel, Batista, Fabio C, Gozzo, Rosario, Durán, John R, Yates, Valmir C, Barbosa, Paulo C, Carvalho
Publikováno v:
Nature protocols. 17(7)
Shotgun proteomics aims to identify and quantify the thousands of proteins in complex mixtures such as cell and tissue lysates and biological fluids. This approach uses liquid chromatography coupled with tandem mass spectrometry and typically generat
Autor:
Jhenifer Yonara De Lima, Emanuella de Castro Andreassa, Tatiana de Arruda Campos Brasil de Souza, Louise U. Kurt, Paulo C. Carvalho, Marlon D.M. Santos
Publikováno v:
Protein expression and purification. 191
Metacaspases are known to have a fundamental role in apoptosis-like, a programmed cellular death (PCD) in plants, fungi, and protozoans. The last includes several parasites that cause diseases of great interest to public health, mostly without adequa
Autor:
Julia Chamot-Rooke, Diogo B. Lima, André R.F. Silva, Valmir C. Barbosa, Milan A. Clasen, Marlon D.M. Santos, Mathieu Dupré, Louise U. Kurt, Paulo C. Carvalho, Priscila F Aquino
Publikováno v:
Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2019, 35 (18), pp.3489-3490. ⟨10.1093/bioinformatics/btz085⟩
Bioinformatics, 2019, 35 (18), pp.3489-3490. ⟨10.1093/bioinformatics/btz085⟩
Bioinformatics, Oxford University Press (OUP), 2019, 35 (18), pp.3489-3490. ⟨10.1093/bioinformatics/btz085⟩
Bioinformatics, 2019, 35 (18), pp.3489-3490. ⟨10.1093/bioinformatics/btz085⟩
Motivation We present the first tool for unbiased quality control of top-down proteomics datasets. Our tool can select high-quality top-down proteomics spectra, serve as a gateway for building top-down spectral libraries and, ultimately, improve iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf8b8ab752576a495acb4b90f800e998
https://hal-pasteur.archives-ouvertes.fr/pasteur-02330759
https://hal-pasteur.archives-ouvertes.fr/pasteur-02330759
RawVegetable – A data assessment tool for proteomics and cross-linking mass spectrometry experiments
Autor:
Louise U. Kurt, Eduardo S B Lyra, Tatiana de Arruda Campos Brasil de Souza, Fabio C. Gozzo, Milan A. Clasen, Diogo B. Lima, Paulo C. Carvalho, Marlon D.M. Santos, Emanuella de Castro Andreassa
Publikováno v:
Journal of Proteomics. 225:103864
We present RawVegetable, a software for mass spectrometry data assessment and quality control tailored toward shotgun proteomics and cross-linking experiments. RawVegetable provides four main modules with distinct features: (A) The charge state chrom
Autor:
Giselle Villa Flor Brunoro, Michel Batista, Valmir C. Barbosa, Eduardo S B Lyra, Fabio C. Gozzo, Paulo C. Carvalho, Louise U. Kurt, Amanda Caroline Camillo-Andrade, Marlon D.M. Santos, Richard H. Valente, Milan A. Clasen, Juliana de Saldanha da Gama Fischer
Publikováno v:
Journal of Proteomics. 222:103803
We present the Mixed-Data Acquisition (MDA) strategy for mass spectrometry data acquisition. MDA combines Data-Dependent Acquisition (DDA) and Data-Independent Acquisition (DIA) in the same run, thus doing away with the requirements for separate DDA
Autor:
Diogo B. Lima, André R.F. Silva, Juliana de Saldanha da Gama Fischer, John R. Yates, Priscila F Aquino, Antonio Pinto, Valmir C. Barbosa, Louise U. Kurt, Paulo C. Carvalho, James J. Moresco, Marlon D.M. Santos, Milan A. Clasen
Publikováno v:
Journal of proteomics. 202
We present a new module integrated into the widely adopted PatternLab for proteomics to enable analysis of isotope-labeled peptides produced using dimethyl or SILAC. The accurate quantitation of proteins lies within the heart of proteomics; dimethyla