VLDB 2026 Research / reviewers in the wild / expert
Aaron Gallagher
dblp:08/10264
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › bioinformatics infrastructure
bioinformatics workflow management |
0.2 | 1 | 2013 | nestly - a framework for running software with nested parameter choices and aggregating results · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
nested directory structures · 0.2SCons build tool · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | nestly - a framework for running software with nested parameter choices and aggregating resultsabstractUNLABELLED: The execution of a software application or pipeline using various combinations of parameters and inputs is a common task in bioinformatics. In the absence of a specialized tool to organize, streamline and formalize this process, scientists must write frequently complex scripts to perform these tasks. We present nestly, a Python package to facilitate running tools with nested combinations of parameters and inputs. nestly provides three components. First, a module to build nested directory structures corresponding to choices of parameters. Second, the nestrun script to run a given command using each set of parameter choices. Third, the nestagg script to aggregate results of the individual runs into a CSV file, as well as support for more complex aggregation. We also include a module for easily specifying nested dependencies for the SCons build tool, enabling incremental builds. AVAILABILITY: Source, documentation and tutorial examples are available at http://github.com/fhcrc/nestly. nestly can be installed from the Python Package Index via pip; it is open source (MIT license). Connor McCoy, Aaron Gallagher, Noah G. Hoffman, Frederick A. Matsen IV |
Bioinform. | 2 |