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Diversity, Ancestry, and the Tenacious Concept of Race: GigaScience at GA4GH

- October 5, 2020

GA4GH increases diversity

Diversity, Ancestry, and the Tenacious Concept of Race The Global Alliance for Genomics and Health (GA4GH) is a policy-framing and technical standards-setting organization, seeking to enable responsible genomic data sharing within a human rights framework. GigaScience are organisational members, and their meeting often coincides with the American Society of Genetics meeting that sometimes participate in […]

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Giga Gets Bigger: GigaByte kickstarts GigaScience Press

- September 4, 2020

GigaScience Press launches

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 […]

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Coronavirus research needs to be a marathon, not a sprint

- August 18, 2020

Coronavirus trends

Not only epidemics themselves come in waves, also research into emerging infectious diseases has ups and downs, a Gigascience paper published today reports. The authors at Ben-Gurion University of the Negev analysed more than 35 million papers and explored research (scientometric trends) related to nine different infectious diseases. The scientific literature screened for this study spans 20 […]

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Birthdays and Online Conferences go Viral. ISMB2020 & BCC2020 in the time of COVID-19

- July 27, 2020

virtual conferences go viral

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 […]

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Medical Imaging with Deep Learning in the Time of Coronavirus

- July 14, 2020

MIDL2020

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 […]

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Nectar, fruits, and blood. A genomic view on the feeding habits of bats.

- 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 […]

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GigaScience joins C19RapidReview: the COVID-19 Rapid Review Initiative

- May 29, 2020

C19 Rapid Review

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 […]

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DNA day 2020: The genomes of Dominette and Esperanza

- 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 […]

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Guest Blog: Data in the time of Coronavirus, Pt. 2

- April 12, 2020

COVID-19 data

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 […]

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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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