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.

Following our efforts promoting open science and “community genomics” projects that have included the “Peoples Parrot” , community cactus, and our very own Bauhinia Genome, today we have a guest posting from the Transbiome team.

With ongoing the 2020 COVID-19 pandemic providing us with unprecedented insight into the progression of a disease outbreak, and unprecedented time in the lock down to turn us all into armchair epidemiologists. This includes near real-time sharing and analysis of genomics data through platforms like nextstrain, and of ways to view the infection, mortality and testing statistics via a growing number of online dashboards.

With much of the GigaScience team spanning the Hong Kong-Shenzhen border and now confined to remote working, the current 2019-novel coronavirus outbreak has been particularly disruptive and close to home.

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.

With the current annual data creation rate estimated to be in the tens of zettabytes, the flood of information currently being generated in every area of human life is crashing up against limited data storage solutions. However, DNA, which serves as a storage system for biological information, has been proposed as a potential means to store an unlimited amount of information.

Building an open, community-supported, e-infrastructure for medical metabolomics data. The European Union’s Horizon 2020 research and innovation programme is funding the PhenoMeNal (Phenome and Metabolome aNalysis) project that aims to support data processing and analysis pipelines for molecular phenotype data generated from metabolomics applications.

GigaScience recently published an article all about a Genotype Investigator for Genome-Wide Analyses, alternatively known as Gigwa. But what is this and how can it help? Guilhem Sempere explains more in a guest post. Exploring the structure of genomes and analyzing their evolution is essential to understanding the adaptation of organisms to biotic and abiotic environments.

The current global panic about Zika is a “data gap” issue: a vacuum of information due to gaps in understanding of its spread and pathogenesis , and gaps in sharing the research data and specimens that will enable the global research community to keep one step ahead of the disease spread.

All Cats (Microbiomes) are Grey? Regular readers will have seen our interest in “community genome” projects, supported by crowdfunding and alternative means (fashion shows in case of the “peoples parrot”), and we’ve been pleased to see the Azolla fern and Cactus genome projects that we published guest GigaBlog postings from both achieve their funding targets.