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ProteoMill: efficient network-based functional analysis portal for proteomics data.
Rydén, Martin; Englund, Martin; Ali, Neserin.
Afiliación
  • Rydén M; Department of Clinical Sciences Lund, Orthopedics, Clinical Epidemiology Unit, Lund University, SE-22185 Lund, Sweden.
  • Englund M; Department of Clinical Sciences Lund, Orthopedics, Clinical Epidemiology Unit, Lund University, SE-22185 Lund, Sweden.
  • Ali N; Department of Clinical Sciences Lund, Rheumatology and Molecular Skeletal Biology, Lund University, SE-22184 Lund, Sweden.
Bioinformatics ; 37(20): 3491-3493, 2021 Oct 25.
Article en En | MEDLINE | ID: mdl-33978717
SUMMARY: Functional analysis has become a common approach to incorporate biological knowledge into the analysis of omics data, and to explore molecular events that govern a disease state. It is though only one step in a wider analytical pipeline that typically requires use of multiple individual analysis software. There is currently a need for a well-integrated omics analysis tool that performs all the steps. The ProteoMill portal is developed as an R Shiny application and integrates all necessary steps from data-upload, converting identifiers, to quality control, differential expression and network-based functional analysis into a single fast, interactive easy to use workflow. Further, it maintains annotation data sources up to date, overcoming a common problem with use of outdated information and seamlessly integrates multiple R-packages for an improved user-experience. The functionality provided in this software can benefit researchers by facilitating the exploratory analysis of proteomics data. AVAILABILITY AND IMPLEMENTATION: ProteoMill is available at https://proteomill.com.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Suecia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Suecia Pais de publicación: Reino Unido