Evidence map›Paper›PMID 39253692›Full record

ArticleGigaByte (Hong Kong, China)2024

Automated management of AWS instances for training.

Jorge Buenabad-Chavez, Evelyn Greeves, James P J Chong, Emma Rand

Abstract read
In one paragraph

Article in GigaByte (Hong Kong, China), 2024. 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. Automated management of AWS instances for training.GigaByte (Hong Kong, China) · 2024
    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

4 authors.

Jorge Buenabad-ChavezDepartment of Biology, University of York, York, YO10 5DD, UK.ORCID https://orcid.org/0009-0003-1751-653X
Evelyn GreevesDepartment of Biology, University of York, York, YO10 5DD, UK.ORCID https://orcid.org/0000-0003-4800-3422
James P J ChongDepartment of Biology, University of York, York, YO10 5DD, UK.ORCID https://orcid.org/0000-0001-9447-7421
Emma RandDepartment of Biology, University of York, York, YO10 5DD, UK.ORCID https://orcid.org/0000-0002-1358-8275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amazon Web Services (AWS) instances provide a convenient way to run training on complex 'omics data analysis workflows without requiring participants to install software packages or store large data volumes locally. However, efficiently managing dozens of instances is challenging for training providers. We present a set of Bash scripts that make it quick and easy to manage Linux AWS instances pre-configured with all the software analysis tools and data needed for a course, and accessible using encrypted login keys and optional domain names. Creating over 30 instances takes 10-15 minutes. A comprehensive online tutorial describes how to set up and use an AWS account and the scripts, and how to customise AWS instance templates with other software tools and data. We anticipate that others offering similar training may benefit from using the scripts regardless of the analyses being taught.

Identifiers

PMID39253692
PMCPMC11382607

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.