Name
Title | ||
|---|---|---|
A rapid and accurate approach for prediction of interactomes from co-elution data (PrInCE). |
Abstract | ||
|---|---|---|
PrInCE is the first fast and easy-to-use data analysis pipeline that predicts interactomes and protein complexes from co-elution data. PrInCE allows researchers without bioinformatics expertise to analyze high-throughput co-elution datasets. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1865-8 | BMC Bioinformatics |
Keywords | Field | DocType |
Co-elution,Co-fractionation,Data analysis,Interactome,Protein correlation profiling,Protein-protein interaction,Proteomics,Software,System biology | Data mining,Interactome,Protein–protein interaction,Source code,Profiling (computer programming),Computer science,Stable isotope labeling by amino acids in cell culture,Bioinformatics,Modular design,Executable,Scalability | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Greg Stacey | 1 | 1 | 0.69 |
| Michael A. Skinnider | 2 | 4 | 1.44 |
| Nichollas E. Scott | 3 | 1 | 0.35 |
| Leonard J. Foster | 4 | 1 | 1.03 |