Tag Archives: reproducible research

Improvements for Man and Machine in Scientific Publishing

- October 5, 2022

interactive figures

Frictionless Data improves not just machine readability of scientific articles, but also enables humans to directly interact with the data within the article itself. A new article in GigaByte demonstrates frictionless data can help bring papers to life with interactive figures.

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From Frictionless Data to Interactive Visualisation

- September 1, 2022

Frictionless Data

A guest post from our summer data science intern Raniere Silva from Hong Kong City Uiniversity on his work on Frictionless Data and Interactive Visualisation

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Open Access Week 2021: GigaScience’s 10 Examples of Open

- October 29, 2021

Open Access Week 2021

For Open Access Week 2021 we look back over 10 of our favourite GigaScience papers providing examples of barriers we’ve tried to break for more open science.

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GigaByte and River Valley Technologies push the boundaries of Executable Research Articles using Stencila and Code Ocean

- February 25, 2021

Executable Research Article

Today GigaByte publishes its first Executable Research Article (ERA), using technology from Stencila and Code Ocean to showcase interactive and executable versions of the figures.

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Reproducible Classification. Q&A on ShinyLearner & the CODECHECK certificate, pt. 2

- April 8, 2020

ShinyLearner

This week we showcased a new way of peer reviewing software, testing code in an independent manner and providing a CODECHECK “certificate of reproducible computation” when the results in the paper can be reproduced. We’ve written a post on the CODECHECK process featuring a Q&A with CODECHECK founder Stephen Eglan, and here we’ll provide a follow […]

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Certified Reproducibility. Q&A on ShinyLearner & the CODECHECK certificate, pt. 1

- April 7, 2020

CODECHECK certificate

Out today in GigaScience is ShinyLearner, a new tool to make it easier to perform benchmark comparisons of classification algorithms. This tool stands out by making this process super systematic and reproducible, and despite needing to interface with many different libraries and languages it uses software containers (and a CodeOcean demo) so end users don’t […]

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GigaBlog meets Gigantum: Guest Post from Tyler Whitehouse, Dean Kleissas and Dav Clark

- June 20, 2019

At GigaScience as our focus is on reproducibility rather than subjective impact, it can be challenging at times to judge this in our papers. Targeting the “bleeding edge” of data-driven research, more and more of our papers utilise technologies, such as Jupyter notebooks, Virtual Machines, and Containers such as Docker. Working these tools in to […]

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Meet the GigaScience ICG Prize Winner, Pt. 2: Lisa Johnson Q&A

- December 14, 2018

ICG prize winner

Yesterday we published the winning paper of the second GigaScience prize, with additional detail and coverage in GigaBlog describing why we and the judging panel found it so novel. This was an impressively case study in reproducibility, reassembling & reannotating around 700 microbial eukaryotic transcriptomes to demonstrate this approach can aid in revealing new biologically relevant […]

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Reprocessing the Microbial Genomic Goldmine: Winner of the ICG13 Prize

- December 13, 2018

Microbial goldmine

Out today is the winner of our ICG13 Prize, presenting work that can aid in revealing new biologically relevant findings and missed genes from previously generated transcriptome assemblies. Teaching old data new tricks, and maximising every last nugget of information from previously funded research. Here we present some insight into why the reviewers and judges […]

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CUDDELing up to metabolomics in Hong Kong

- January 22, 2018

As mentioned in our Happy New Year blog post, one of the highlights in 2017 was a second GigaScience hackathon workshop which we held in November last year in our Hong Kong BGI office. Funding for this workshop came from a project we have called CUDDEL which was awarded a grant by the BBSRC from their China […]

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