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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.
Afiliação
  • 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 em 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Software / Proteínas / Proteômica Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Software / Proteínas / Proteômica Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França