Latest posts
Giga Gets Bigger: GigaByte kickstarts GigaScience Press
Scott Edmunds - September 4, 2020
GigaScience has spawned a new smaller and more agile sibling: GigaByte, and is the first journal to come from our new GigaScience Press. This bigger and better GigaScience family has lead to some changes in GigaScience, and we are pleased to make some important announcements about the team. Coming shortly after our 8th birthday, GigaScience […]
Coronavirus research needs to be a marathon, not a sprint
Hans Zauner - August 18, 2020
Q&A with Michael Fire talking about scientometric trends for coronaviruses and other infectious diseases, looking at why this research can “go viral”
Birthdays and Online Conferences go Viral. ISMB2020 & BCC2020 in the time of COVID-19
Chris Armit - July 27, 2020
Meetings In the Time of Coronavirus: Conferences go Viral June-July usually marks peak conference season when the GigaScience team is on the road, but with the COVID-19 pandemic shutting down travel and public gatherings it has been a strangely static summer. As we launched at the Intelligent Systems for Molecular Biology (ISMB) conference in Long […]
Medical Imaging with Deep Learning in the Time of Coronavirus
Chris Armit - July 14, 2020
Montréal was the venue for Medical Imaging with Deep Learning 2020 (MIDL 2020) that took place on 6-9 July 2020. Due to the COVID-19 crisis, like many meetings this year (such as the ISMB conference we attend every year), the new normal has been to make it a virtual conference. GigaScience Data Scientist Chris Armit […]
Nectar, fruits, and blood. A genomic view on the feeding habits of bats.
Hans Zauner - June 9, 2020
Bats are mammals like no other – airborne, mostly nocturnal, often hidden away in caves, capable of using echolocation for in-flight navigation. No two bat species are alike, however. Their diversity of morphology, life styles and feeding habits is staggering. New bat genomics research published today in GigaScience explores the footprints of evolution, to explain […]
GigaScience joins C19RapidReview: the COVID-19 Rapid Review Initiative
Scott Edmunds - May 29, 2020
C19RapidReview: cross publisher collaboration against the coronavirus pandemic The COVID-19 pandemic has created a new urgency to openly and rapidly share and review relevant research, with the world looking to science to solve the problems we currently face. While we’ve written about constructive things you can do while in lockdown, there are many more things […]
DNA day 2020: The genomes of Dominette and Esperanza
Hans Zauner - April 25, 2020
It’s DNA day, celebrating two historic milestones: The publication of the structure of DNA in 1953, and the completion of the human genome project in 2003. What better occasion could there be to take a step back and marvel at the breath-taking progress in genomics over the years. For this year’s special DNA day blog, GigaScience […]
Guest Blog: Data in the time of Coronavirus, Pt. 2
Scott Edmunds - April 12, 2020
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 […]
Reproducible Classification. Q&A on ShinyLearner & the CODECHECK certificate, pt. 2
Scott Edmunds - April 8, 2020
Q&A with Stephen Piccolo talking about ShinyLearner, a benchmarking tool for machine-learning classification algorithms, & how it was tested with CODECHECK
Certified Reproducibility. Q&A on ShinyLearner & the CODECHECK certificate, pt. 1
Scott Edmunds - April 7, 2020
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 […]