James Taylor

Orcid: 0000-0001-5079-840X

Affiliations:
  • Johns Hopkins University, Department of Biology, Baltimore, MD, USA
  • Emory University, Atlanta, GA, USA (2008 - 2013)


According to our database1, James Taylor authored at least 30 papers between 2010 and 2022.

Collaborative distances:

Timeline

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Bibliography

2022
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update.
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Nucleic Acids Res., 2022

2020
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update.
Nucleic Acids Res., 2020

Cloud bursting galaxy: federated identity and access management.
Bioinform., 2020

2019
CloudLaunch: Discover and deploy cloud applications.
Future Gener. Comput. Syst., 2019

2018
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update.
Nucleic Acids Res., 2018

Federated Galaxy: Biomedical Computing at the Frontier.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers.
PLoS Comput. Biol., 2017

2016
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update.
Nucleic Acids Res., 2016

A guide and best practices for R/Bioconductor tool integration in Galaxy.
F1000Research, 2016

Jetstream: performance, early experiences, and early results.
Proceedings of the XSEDE16 Conference on Diversity, 2016

CloudBridge: a Simple Cross-Cloud Python Library.
Proceedings of the XSEDE16 Conference on Diversity, 2016

Architectural models for deploying and running virtual laboratories in the cloud.
Proceedings of the 39th International Convention on Information and Communication Technology, 2016

2015
Enabling cloud bursting for life sciences within Galaxy.
Concurr. Comput. Pract. Exp., 2015

Jetstream: a self-provisioned, scalable science and engineering cloud environment.
Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015

Building and provisioning bioinformatics environments on public and private Clouds.
Proceedings of the 38th International Convention on Information and Communication Technology, 2015

2014
Topologically associating domains are stable units of replication-timing regulation Open.
Nat., 2014

Leveraging the national cyberinfrastructure for biomedical research.
J. Am. Medical Informatics Assoc., 2014

Wrangling Galaxy's reference data.
Bioinform., 2014

Galaxy cluster to cloud - genomics at scale.
Proceedings of the 9th Gateway Computing Environments Workshop, 2014

2013
Ten Simple Rules for Reproducible Computational Research.
PLoS Comput. Biol., 2013

A sustainable national gateway for biological computation.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

2012
A reference model for deploying applications in virtualized environments.
Concurr. Comput. Pract. Exp., 2012

CloudMan as a platform for tool, data, and analysis distribution.
BMC Bioinform., 2012

Lessons learned from Galaxy, a Web-based platform for high-throughput genomic analyses.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

2011
Galaxy: A Gateway to Tools in e-Science.
Proceedings of the Guide to e-Science, Next Generation Scientific Research and Discovery, 2011

Making whole genome multiple alignments usable for biologists.
Bioinform., 2011

Integrating diverse databases into an unified analysis framework: a Galaxy approach.
Database J. Biol. Databases Curation, 2011

The Galaxy Track Browser: Transforming the genome browser from visualization tool to analysis tool.
Proceedings of the 2011 IEEE Symposium on Biological Data Visualization, 2011

2010
Galaxy CloudMan: delivering cloud compute clusters.
BMC Bioinform., 2010

Manipulation of FASTQ data with Galaxy.
Bioinform., 2010


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