Changing the Biological Data Visualisation World
News Sep 04, 2015
Existing open-source biological data repositories are littered with abandoned projects that have failed to gain the support needed to continue on past the initial funding and enthusiasm. Therefore, with BioJS, buy-in from the lifesciences community is critical; to present such a suite of tools capable of displaying biological data requires expertise and capacity that is beyond working in isolated groups.
BioJS was initially developed in 2013 through a collaboration between TGAC and the European Bioinformatics Institute (EMBL-EBI). Starting of as a small set of individual graphical components in a bespoke register, it has evolved to a suite of over a 100 data visualisation tools with a combined download of near to 185k. A community of 41 code contributors spread across four continents, a Google Group forum with more than 150 members, and 15 published papers with multiple citations.
To promote the project, TGAC recently held the first BioJS conference as an open event to potential developers and users of the online data repository. Followed by a hackathon to allow participant to integrate the toolset into the larger Galaxy network, an open, web-based platform for data intensive biological research.
Manuel Corpas, BioJS community lead and Project Leader at TGAC, said: BioJS has become a robust international project within a short period of time by fostering the right skills and technical expertise to develop the community. Contributors are rewarded to ensure members are motivated and to increase our impact.
“Time spent on promoting, evangelising and networking is one of the most fruitful investments in the BioJS community. We believe that BioJS will set an example for other to have the confidence to build their similarly robust open source projects and communities.”
Computer Program Helps Find Ways to Repurpose Existing DrugsNews
Researchers have developed a computer program to find new indications for old drugs. The computer program, called DrugPredict, matches existing data about FDA-approved drugs to diseases, and predicts potential drug efficacy.READ MORE
Big Data From Social Media Helps Combat Prescription Drug CrisisNews
Researchers have conducted a critical review of existing literature to determine whether social media big data can be used to understand communication and behavioral patterns related to prescription drug abuse.READ MORE
Machine Learning: Helping Determine How a Drug Affects the BrainNews
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published today in Brain.READ MORE