Name
Title | ||
|---|---|---|
Reproducible bioinformatics project: a community for reproducible bioinformatics analysis pipelines. |
Abstract | ||
|---|---|---|
Reproducible Bioinformatics Project provides a general schema and an infrastructure to distribute robust and reproducible workflows. Thus, it guarantees to final users the ability to repeat consistently any analysis independently by the used UNIX-like architecture. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2296-x | BMC Bioinformatics |
Keywords | Field | DocType |
Chromatin Immuno precipitation sequencing,Community,Docker,Reproducible research,Single nucleotide variants,Whole transcriptome sequencing,microRNA sequencing | Reproducibility,Pipeline transport,Biology,Raw data,Bioinformatics analysis,Whole Transcriptome Sequencing,Bioinformatics,Workflow,Computational analysis | Journal |
Volume | Issue | ISSN |
19-S | 10 | 1471-2105 |
Citations | PageRank | References |
1 | 0.37 | 7 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Neha Kulkarni | 1 | 1 | 0.37 |
| Luca Alessandrì | 2 | 1 | 0.71 |
| Riccardo Panero | 3 | 1 | 0.71 |
| Maddalena Arigoni | 4 | 2 | 1.43 |
| Martina Olivero | 5 | 1 | 0.37 |
| Giulio Ferrero | 6 | 1 | 1.05 |
| Francesca Cordero | 7 | 63 | 13.42 |
| Marco Beccuti | 8 | 195 | 26.04 |
| Raffaele A. Calogero | 9 | 8 | 4.34 |