Tag Archives: metabolomics

A genome scale model of Pseudomonas aeruginosa published recently in GigaScience will help scientists to fight multi-drug-resistant superbugs. Pseudomonas aeruginosa is one of the world’s most dangerous pathogens, causing life-threatening infections. It is increasingly resistant to all antibiotics. The antibiotic polymyxin is a weapon of last resort against the superbug, but P. aeruginosa is increasingly gaining […]

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As mentioned in our Happy New Year blog post, one of the highlights in 2017 was a second GigaScience hackathon workshop which we held in November last year in our Hong Kong BGI office. Funding for this workshop came from a project we have called CUDDEL which was awarded a grant by the BBSRC from their China […]

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David Johnson and the PhenoMeNal consortium have a guest posting on their efforts in building an open, community-supported, e-infrastructure for medical metabolomics data, and how they are seeking community feedback on the requirements for the data infrastructures needed.

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The genomics community has been held up as an exemplar in data sharing practices since the human genome project, but the metabolomics community is catching up fast, with the Metabolights database being the fast growing repository at the EBI. In this light, GigaScience has been actively involved in reaching out and engaging with the metabolomics […]

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Last Christmas we gave you our heart; okay forget George Michael – we gave you beautiful imaging data sets, Virtual Machines, BYO data parties, GigaGitHub, more open peer review plus much more. However, in 2015 GigaScience has delivered anything but less, with more technical developments and exemplar papers published – GigaScience continues to push the […]

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With our focus on large-scale biological data, mass spectrometry has been one area of particular interest and attention. Metabolomics involves the detection and quantification of small molecules (metabolites) in living organisms using mass spectrometers. The measurements made from these sophisticated instruments are analysed using computational programs to determine the abundances of metabolites, the results of […]

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When it comes to technology, GigaScience has always been open and willing to embrace new ways of integrating technology in its publishing processes, with the ultimate goal of working towards more reproducible, interactive and executable papers. So far, 2014 has been an extremely busy year for Team Giga with regards to various technical developments as […]

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Data Club is Gonna Show You How As science is supposed to be about “standing on the shoulders of giants”, we all know sharing scientific data should be a good thing, but there are obviously large technical and cultural challenges holding things back. Things are a long way from the Jimmy Wales “Imagine a world […]

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As the GigaScience journal moves from strength-to-strength, with that comes the expansion of the editorial and data management teams that are now spanning three continents – and what better way to meet than at the 8th International Conference on Genomics (ICG8) in Shenzhen, China, co-organised by the BGI and GigaScience. Held at the Thunderbirdsesque Vanke […]

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The speed of data Last week was the Bio-IT World Asia meeting in Singapore, and while we didn’t attend this year (see last years conference report in Genome Biology), our editorial board member Tin-Lap Lee presented on the GigaGalaxy server that we have been collaborating with him on (see slides). Also timed for the meeting, […]

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