Google and EI Partner for Next Generation of Coders
News Jul 08, 2016
Co-led by EI, BioJS is a growing international community of around 80 software developers and life scientists from across the globe. They have contributed to a useful tool that enables visualisation of biological data to decode living systems and help tackle some of the major challenges we face in modern society.
As one of the selected 178 organisations from different areas of software and web development, BioJS is mentoring five ambitious students in projects involving and further developing BioJS components and resources in this year’s Google Summer of Code (GSoC).
In the three-month coding placement, students are focusing on their proposed project from their GSoC application under the guidance of experienced developers from the BioJS community. From developing a medical imaging app where you can keep a record of your medical scans and interact with these through a webcam; integrating human protein data for research into human expression; to visualising results from a drug target identification service, the student projects will apply to different bioinformatics and web development-related issues.
The final projects will be reviewed by their mentors and successfully completed projects officially announced by Google at the end of August.
With this mentoring opportunity, BioJS hopes to engage the participating students not only in working on real open-source projects in general, but also involve them in the project's innovative community.
GSoC is a global programme that encourages university students into coding and open source software development. Students who successfully complete their coding project will receive a stipend of $5,500 from Google under the umbrella of their associated mentoring organisation.
Earlham Project lead Manuel Corpas, said: “Google’s Summer of Code programme continues to recognise the international value of BioJS as an open source community for developers worldwide.”
“GSoC is more than just your usual summer coding project – it connects the BioJS project with the young and upcoming developer community out there which is refreshing!” added Jessica Jordan, both web developer and GSoC mentoring organisation administrator for BioJS at EI.
Algorithm Speeds Up Medical Image Analysis 1000 TimesNews
Medical image registration is a common technique that involves overlaying two images, such as magnetic resonance imaging (MRI) scans, to compare and analyze anatomical differences in great detail. Researchers have described a machine-learning algorithm that can register brain scans and other 3-D images more than 1,000 times more quickly using novel learning techniques.
Mechanism Controlling Multiple Sclerosis Risk IdentifiedNews
Researchers at Karolinska Institutet have now discovered a new mechanism of a major risk gene for multiple sclerosis (MS) that triggers disease through so-called epigenetic regulation. They also found a protective genetic variant that reduces the risk for MS through the same mechanism.
Synthetic DNA Shuffling Enzyme Outpaces Natural CounterpartNews
A new synthetic enzyme, crafted from DNA rather than protein, flips lipid molecules within the cell membrane, triggering a signal pathway that could be harnessed to induce cell death in cancer cells. Researchers say their lipid-scrambling DNA enzyme is the first in its class to outperform naturally occurring enzymes – and does so by three orders of magnitudeREAD MORE