Abstract | ||
---|---|---|
We present BioBlend, a unified API in a high-level language (python) that wraps the functionality of Galaxy and CloudMan APIs. BioBlend makes it easy for bioinformaticians to automate end-to-end large data analysis, from scratch, in a way that is highly accessible to collaborators, by allowing them to both provide the required infrastructure and automate complex analyses over large datasets within the familiar Galaxy environment. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1093/bioinformatics/btt199 | BIOINFORMATICS |
Field | DocType | Volume |
Scratch,Computer science,Source code,Software,Bioinformatics,Galaxy,Python (programming language),Operating system,Database,License | Journal | 29 |
Issue | ISSN | Citations |
13 | 1367-4803 | 16 |
PageRank | References | Authors |
1.40 | 1 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Clare Sloggett | 1 | 30 | 2.24 |
Nuwan Goonasekera | 2 | 21 | 4.38 |
Enis Afgan | 3 | 178 | 21.83 |