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Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
Increased reliance on computational approaches in the life sciences has revealed grave concerns about how accessible and reproducible computation-reliant results truly are. GalaxyExpand
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Galaxy: a platform for interactive large-scale genome analysis.
Accessing and analyzing the exponentially expanding genomic sequence and functional data pose a challenge for biomedical researchers. Here we describe an interactive system, Galaxy, that combines theExpand
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Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists
High‐throughput data production has revolutionized molecular biology. However, massive increases in data generation capacity require analysis approaches that are more sophisticated, and often veryExpand
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The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update
High-throughput data production technologies, particularly ‘next-generation’ DNA sequencing, have ushered in widespread and disruptive changes to biomedical research. Making sense of the largeExpand
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The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update
Abstract Galaxy (homepage: https://galaxyproject.org, main public server: https://usegalaxy.org) is a web-based scientific analysis platform used by tens of thousands of scientists across the worldExpand
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Manipulation of FASTQ data with Galaxy
Summary: Here, we describe a tool suite that functions on all of the commonly known FASTQ format variants and provides a pipeline for manipulating next generation sequencing data taken from aExpand
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Dissemination of scientific software with Galaxy ToolShed
The proliferation of web-based integrative analysis frameworks has enabled users to perform complex analyses directly through the web. Unfortunately, it also revoked the freedom to easily select theExpand
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Ten Simple Rules for Reproducible Computational Research
Replication is the cornerstone of a cumulative science [1]. However, new tools and technologies, massive amounts of data, interdisciplinary approaches, and the complexity of the questions being askedExpand
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Next-generation sequencing data interpretation: enhancing reproducibility and accessibility
Areas of life sciences research that were previously distant from each other in ideology, analysis practices and toolkits, such as microbial ecology and personalized medicine, have all embracedExpand
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Galaxy CloudMan: delivering cloud compute clusters
BackgroundWidespread adoption of high-throughput sequencing has greatly increased the scale and sophistication of computational infrastructure needed to perform genomic research. An alternative toExpand
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