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DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics.
Wieczorek, Samuel; Combes, Florence; Lazar, Cosmin; Giai Gianetto, Quentin; Gatto, Laurent; Dorffer, Alexia; Hesse, Anne-Marie; Couté, Yohann; Ferro, Myriam; Bruley, Christophe; Burger, Thomas.
Afiliación
  • Wieczorek S; Université Grenoble Alpes, BIG-BGE, Grenoble, 38000, France.
  • Combes F; CEA, BIG-BGE, Grenoble, 38000, France.
  • Lazar C; INSERM, BGE, Grenoble, 38000, France.
  • Giai Gianetto Q; Université Grenoble Alpes, BIG-BGE, Grenoble, 38000, France.
  • Gatto L; CEA, BIG-BGE, Grenoble, 38000, France.
  • Dorffer A; INSERM, BGE, Grenoble, 38000, France.
  • Hesse AM; Université Grenoble Alpes, BIG-BGE, Grenoble, 38000, France.
  • Couté Y; CEA, BIG-BGE, Grenoble, 38000, France.
  • Ferro M; INSERM, BGE, Grenoble, 38000, France.
  • Bruley C; Université Grenoble Alpes, BIG-BGE, Grenoble, 38000, France.
  • Burger T; CEA, BIG-BGE, Grenoble, 38000, France.
Bioinformatics ; 33(1): 135-136, 2017 01 01.
Article en En | MEDLINE | ID: mdl-27605098
DAPAR and ProStaR are software tools to perform the statistical analysis of label-free XIC-based quantitative discovery proteomics experiments. DAPAR contains procedures to filter, normalize, impute missing value, aggregate peptide intensities, perform null hypothesis significance tests and select the most likely differentially abundant proteins with a corresponding false discovery rate. ProStaR is a graphical user interface that allows friendly access to the DAPAR functionalities through a web browser. AVAILABILITY AND IMPLEMENTATION: DAPAR and ProStaR are implemented in the R language and are available on the website of the Bioconductor project (http://www.bioconductor.org/). A complete tutorial and a toy dataset are accompanying the packages. CONTACT: samuel.wieczorek@cea.fr, florence.combes@cea.fr, thomas.burger@cea.fr.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Péptidos / Programas Informáticos / Proteínas / Proteómica Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Péptidos / Programas Informáticos / Proteínas / Proteómica Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Francia