Systems Analysis for Interpretation of Phosphoproteomics Data
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Systems Analysis for Interpretation of Phosphoproteomics Data. / Munk, Stephanie; Refsgaard, Jan C; Olsen, Jesper V.
Phospho-Proteomics: Methods and Protocols. ed. / Louise von Stechow. Vol. 1355 Springer, 2016. p. 341-60 (Methods in molecular biology (Clifton, N.J.)).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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TY - CHAP
T1 - Systems Analysis for Interpretation of Phosphoproteomics Data
AU - Munk, Stephanie
AU - Refsgaard, Jan C
AU - Olsen, Jesper V
PY - 2016
Y1 - 2016
N2 - Global phosphoproteomics investigations yield overwhelming datasets with up to tens of thousands of quantified phosphosites. The main challenge after acquiring such large-scale data is to extract the biological meaning and relate this to the experimental question at hand. Systems level analysis provides the best means for extracting functional insights from such types of datasets, and this has primed a rapid development of bioinformatics tools and resources over the last decade. Many of these tools are specialized databases that can be mined for annotation and pathway enrichment, whereas others provide a platform to generate functional protein networks and explore the relations between proteins of interest. The use of these tools requires careful consideration with regard to the input data, and the interpretation demands a critical approach. This chapter provides a summary of the most appropriate tools for systems analysis of phosphoproteomics datasets, and the considerations that are critical for acquiring meaningful output.
AB - Global phosphoproteomics investigations yield overwhelming datasets with up to tens of thousands of quantified phosphosites. The main challenge after acquiring such large-scale data is to extract the biological meaning and relate this to the experimental question at hand. Systems level analysis provides the best means for extracting functional insights from such types of datasets, and this has primed a rapid development of bioinformatics tools and resources over the last decade. Many of these tools are specialized databases that can be mined for annotation and pathway enrichment, whereas others provide a platform to generate functional protein networks and explore the relations between proteins of interest. The use of these tools requires careful consideration with regard to the input data, and the interpretation demands a critical approach. This chapter provides a summary of the most appropriate tools for systems analysis of phosphoproteomics datasets, and the considerations that are critical for acquiring meaningful output.
U2 - 10.1007/978-1-4939-3049-4_23
DO - 10.1007/978-1-4939-3049-4_23
M3 - Book chapter
C2 - 26584937
SN - 978-1-4939-3048-7
VL - 1355
T3 - Methods in molecular biology (Clifton, N.J.)
SP - 341
EP - 360
BT - Phospho-Proteomics
A2 - Stechow, Louise von
PB - Springer
ER -
ID: 179330130