Name
Abstract | ||
|---|---|---|
Motivation: Reverse-phase protein arrays (RPPAs) allow sensitive quantification of relative protein abundance in thousands of samples in parallel. Typical challenges involved in this technology are antibody selection, sample preparation and optimization of staining conditions. The issue of combining effective sample management and data analysis, however, has been widely neglected. Results: This motivated us to develop MIRACLE, a comprehensive and user-friendly web application bridging the gap between spotting and array analysis by conveniently keeping track of sample information. Data processing includes correction of staining bias, estimation of protein concentration from response curves, normalization for total protein amount per sample and statistical evaluation. Established analysis methods have been integrated with MIRACLE, offering experimental scientists an end-to-end solution for sample management and for carrying out data analysis. In addition, experienced users have the possibility to export data to R for more complex analyses. MIRACLE thus has the potential to further spread utilization of RPPAs as an emerging technology for high-throughput protein analysis. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1093/bioinformatics/btu473 | BIOINFORMATICS |
Keywords | Field | DocType |
proteins,internet | Data mining,Miracle,Data processing,Normalization (statistics),Computer science,Software,Protein Array Analysis,Web application,Bioinformatics,Spotting | Journal |
Volume | Issue | ISSN |
30 | 17 | 1367-4803 |
Citations | PageRank | References |
1 | 0.41 | 8 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus List | 1 | 18 | 6.77 |
| Ines Block | 2 | 1 | 0.41 |
| Marlene Lemvig Pedersen | 3 | 1 | 0.41 |
| Helle Christiansen | 4 | 1 | 0.41 |
| Steffen Schmidt | 5 | 1 | 0.41 |
| Mads Thomassen | 6 | 8 | 2.70 |
| Qihua Tan | 7 | 15 | 6.04 |
| Jan Baumbach | 8 | 148 | 22.11 |
| Jan Mollenhauer | 9 | 2 | 1.11 |