Evidence map›Paper›PMID 36568682›Full record

ArticleJournal of software engineering and applications2022

API Development Increases Access to Shared Computing Resources at Boston University.

George Jones, Amanda E Wakefield, Jeff Triplett, Kojo Idrissa, James Goebel, Dima Kozakov, Sandor Vajda

Abstract read
In one paragraph

Article in Journal of software engineering and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

George JonesDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, USA.
Amanda E WakefieldDepartment of Chemistry, Boston University, Boston, USA.
Jeff TriplettRevolution Systems, LLC., Lawrance, USA.
Kojo IdrissaRevolution Systems, LLC., Lawrance, USA.
James GoebelCollege of Engineering, Boston University, Boston, USA.
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, USA.
Sandor VajdaDepartment of Chemistry, Boston University, Boston, USA.

Funding

Analysis and Prediction of Molecular InteractionsR35GM118078 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDOR VAJDA · 2016 to 2026
$6.5M
NIGMS NIH HHS R35 GM118078
6 · The paper itself

Abstract

Within the last few decades, increases in computational resources have contributed enormously to the progress of science and engineering (S & E). To continue making rapid advancements, the S & E community must be able to access computing resources. One way to provide such resources is through High-Performance Computing (HPC) centers. Many academic research institutions offer their own HPC Centers but struggle to make the computing resources easily accessible and user-friendly. Here we present SHABU, a RESTful Web API framework that enables S & E communities to access resources from Boston University's Shared Computing Center (SCC). The SHABU requirements are derived from the use cases described in this work.

Indexed as

API FrameworkHigh-Performance ComputingOpen SourceScience and EngineeringSoftware Architecture

Identifiers

PMID36568682
PMCPMC9779984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.