Visualization of proteomics data using R and Bioconductor
Data visualization plays a key role in high‐throughput biology. It is an essential tool for data exploration allowing to shed light on data structure and patterns of interest. Visualization is also of paramount importance as a form of communicating data to a broad audience. Here, we provided a short overview of the application of the R software to the visualization of proteomics data. We present a summary of R's plotting systems and how they are used to visualize and understand raw and processed MS‐based proteomics data.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Visualization of proteomics data using R and Bioconductor ; volume:15 ; number:8 ; year:2015 ; pages:1375-1389 ; extent:15
Proteomics ; 15, Heft 8 (2015), 1375-1389 (gesamt 15)
- Creator
-
Gatto, Laurent
Breckels, Lisa M.
Naake, Thomas
Gibb, Sebastian
- DOI
-
10.1002/pmic.201400392
- URN
-
urn:nbn:de:101:1-2022112507325841717505
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:30 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gatto, Laurent
- Breckels, Lisa M.
- Naake, Thomas
- Gibb, Sebastian
Other Objects (12)
Visualization and exploration of next-generation proteomics data
xiSPEC: web-based visualization, analysis and sharing of proteomics data
Visualization of LC‐MS/MS proteomics data in MaxQuant
Bioinformatics applications for analysis and visualization of mass spectrometry based proteomics data
Tidyproteomics: an open-source R package and data object for quantitative proteomics post analysis and visualization
Proteomics data management
Exploiting proteomics data
Exploiting proteomics data
Using Internet Streamed Data for Sport Visualization
Hybrid design for sports data visualization using AI and big data analytics
Examining students’ course trajectories using data mining and visualization approaches
ARTISTIC VISUALIZATION OF TRAJECTORY DATA USING CLOUD MODEL
Visualization and exploration of next-generation proteomics data
xiSPEC: web-based visualization, analysis and sharing of proteomics data
Visualization of LC‐MS/MS proteomics data in MaxQuant
Bioinformatics applications for analysis and visualization of mass spectrometry based proteomics data
Tidyproteomics: an open-source R package and data object for quantitative proteomics post analysis and visualization
Proteomics data management
Exploiting proteomics data
Exploiting proteomics data
Using Internet Streamed Data for Sport Visualization
Hybrid design for sports data visualization using AI and big data analytics
Examining students’ course trajectories using data mining and visualization approaches
ARTISTIC VISUALIZATION OF TRAJECTORY DATA USING CLOUD MODEL
Visualization and exploration of next-generation proteomics data
xiSPEC: web-based visualization, analysis and sharing of proteomics data
Visualization of LC‐MS/MS proteomics data in MaxQuant
Bioinformatics applications for analysis and visualization of mass spectrometry based proteomics data
Tidyproteomics: an open-source R package and data object for quantitative proteomics post analysis and visualization
Proteomics data management
Exploiting proteomics data
Exploiting proteomics data
Using Internet Streamed Data for Sport Visualization
Hybrid design for sports data visualization using AI and big data analytics
Examining students’ course trajectories using data mining and visualization approaches