Tag Archives: Q&A

iMicrobe: Fostering Community-Driven Science and Data Discovery. Q&A with Bonnie Hurwitz

- August 2, 2019

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.  […]

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Power to the People and Their Data – The Open Humans Way. Q&A with Bastian Greshake Tzovaras and Mad Price Ball

- June 27, 2019

In the data driven era, not only in research but in our day-to-day lives, people are creating more and more personal digitized data that enables human-participant research in social sciences and personalized medicine. However, with numerous data streams and types this raises concerns such as how to merge and share such data, as well as […]

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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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Preprint.Space, The Final Frontier

- May 24, 2018

Preprint.Space logo

Open Science Trek, The Next Integration Fostering and promoting more open and transparent science is one of the goals of GigaScience, and to do this we have been big promoters of open peer review as well as preprints servers. Combining both of these, Academic Karma was the one of the first platforms to focus on […]

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CRISPR-based Epigenome Editing: Author Q&A with Alun Luo

- April 24, 2018

Alun Luo presenting at KI HK

The CRISPR/Cas9 system has opened new horizons in what can be done with genome editing. Here we present an author Q&A with Alun Yonglun Luo discussing his new paper in GigaScience moving this technology towards epigenome editing and testing its efficacy and accuracy. Modulating Methylation: Epigenome Editing With our scope focussing the “biological big data” […]

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On the trail of the elusive Solenodon genome. Q&A with Taras Oleksyk

- March 19, 2018

Researchers have sequenced the venomous Solenodon, the last survivor of a branch of mammals that appeared at the time of the dinosaurs. Here we give some behind the scenes insight with some of the authors of this prize winning project, and include a Q&A with lead author Taras Oleksyk. Our latest paper presents a draft […]

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How Giardia feeds on ready meals from the gut – Author Q&A with Kevin Tyler

- January 29, 2018

Giardia, a protozoan parasite which people typically pick up through drinking infected water or contaminated food, can cause diarrhoea and stomach pains. New research published today in GigaScience, with supporting data in GigaDB, provides insights into the mechanisms that cause the symptoms of giardiasis. Currently more than 200,000 people are ill with giardiasis and there are […]

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Research Parasites Wanted. Q&A with Casey Greene & Brian Byrd

- September 14, 2017

As a journal focussed on open science we are big promoters of research parasites (and research on parasites), and try to feeds them with open data and tools. It is therefore appropriate this is the second year GigaScience has supported and sponsored the Research Parasite awards. In one of our Q&As, organisers Casey Greene and […]

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Bringing Wildlife Forensics into the Omics Era. Q&A with Alfred Arulandhu and Martijn Staats

- September 12, 2017

Sequencers versus the smugglers. CITES (the Convention on International Trade in Endangered Species of Wild Fauna and Flora), is one of the largest and oldest conservation and sustainable use agreements in existence, and provides a legal framework for protecting endangered plants and animals around the world. There are roughly 35,000 species listed on the three […]

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Data Intensive Software Publishing & Sailing The Code Ocean. Q&A With Ruibang Luo.

- June 27, 2017

GigaScience is always trying to push the boundaries of how we disseminate reproducible research, and to adapt to the challenges of dealing with experiments become more data-intensive. We now showcase a new reproducible research platform we’ve been testing called Code Ocean, and have a Q&A with our Author Ruibang Luo on his experiences using it. […]

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