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GigaBlog
Data driven blogging from the GigaScience editors
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Publié

At GigaScience we see more and more of our published papers use computational workflows, as they provides researchers easy access to high-quality analysis methods without the requirement of computational expertise. However, systems are needed to enable the sharing of these workflows in a reusable form.

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A guest post from our summer data science intern Raniere Silva. Raniere is a PhD Candidate at City University of Hong Kong and interested in reproducible research. During July and August 2022, I was a summer intern at GigaScience Press investigating how GigaScience and GigaByte journals could use Frictionless Data to help researchers make data driven discovery faster.

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When coffee is sold as single origin or as the more expensive Arabica beans— do you really know whether you are getting what you’re paying for? Different coffee-producing regions need to enforce the standards and reputation of their coffee, and there is a growing industry looking at different technologies to more accurately classify and test coffee beans from different origins.

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GigaScience has always had a focus on reproducibility rather than subjective impact, and it can be challenging for our reviewers to judge this, especially now that more and more tools are being created – bringing data science to the masses.  This also means more efficiency and ease is required especially when multiple collaborators and contributors on a specific project are involved.

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Open Data in the Third Dimension Data are not just ephemeral units of magnetisation sitting on computer hard drives. The linking of the word to storable computer information only goes back to the mid-20 th century, but the use of the latin word data in English goes back to at least the 17 th Century.

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The SAMtools suite of tools for manipulating sequencing data one of the most ubiquitous tools in bioinformatics, as the “glue” holding together much of bioinformatics we see it used in pretty much every genomics pipeline we are submitted.

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The first comprehensive mobile genome analysis application, iGenomics, is now available for download and use on an iOS smartphone . By pairing an smartphone with a handheld DNA sequencer, users will be able to create a mobile genetics laboratory, reminiscent of the Star Trek’s “tricorder”. Just published is an article presenting  iGenomics, the first DNA sequencing toolkit that can run on a smartphone.