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GigaBlog
Data driven blogging from the GigaScience editors
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Published

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 need to worry about this complexity.

Published

Stuck indoors and bored of passively reading information on the coronavirus (and more) when you could be doing something more constructive? GigaScience now has hypothes.is integration for collaborative annotation, and we would encourage readers to interact with our content more collaboratively.

Published

In this data-driven era, research is faced with new challenges, from sharing, storing and accessing data, including how to better integrate data to answer big questions in science. With many data repositories available, it is hard to maintain them all – some repositories are forced to close – meaning loss of access to invaluable datasets.

Published

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.

Published

The mock metagenome, MAGs and breaking the first rule of Long Read Club Nick showing us some of his experiments with an early antecedent Short Read Club… Out today in GigaScience is a new “mock metagenome” Data Note from the Nick Loman lab in Birmingham showcasing the latest long-read sequencing technologies from Oxford Nanopore.

Published

It’s DNA day, commemorating the publication of the structure of DNA in 1953, as well as the completion of the Human Genome Project in 2003. Genomics has come a long way since then. Today it is possible to sequence whole genomes with a very reasonable investment of time and money. What an amazing time for scientists who are working with non-model organisms.