The journal Genomics, Proteomics & Bioinformatics (GPB) is now inviting submissions for a special issue (to be published in the winter of 2017) on the topic of “Big data in brain science”.
It took 15 years, 3 billion USD, and thousands of top scientists from all over the world to complete the Human Genome Project (HGP). Our next grand challenge in biological sciences, the worldwide Human Brain Project (HBP), will be much more complex than HGP. Human brain is the most complex organ on this planet, which is also highly energy efficient. HBP mainly consists of three areas: understanding the normal brain functions, tackling major brain disorders, and simulating the brain activities. To achieve these goals, it is no longer sufficient to merely use traditional approaches focusing on a single molecule or single neuron. Existing high-throughput technologies such as genome sequencing have been increasingly applied to this field, and novel technologies especially those for brain mapping have been developed and refined. Furthermore, innovative platforms have been developed for neuromorphic computing. We are witnessing the revolution of brain science driven by big data technologies.
To highlight the recent cutting-edge studies and progress in this area, we are pleased to announce a special issue on “Big data in brain science” in GPB, which will publish a set of research articles and review papers focusing on the use of big data to study brain science and brain diseases. Dr. Hongxing Lei from Beijing Institute of Genomics, Chinese Academy of Sciences, and Dr. Zhong Jin from Supercomputing Center, Chinese Academy of Sciences, are Guest Editors of this issue.
The topics may include (but not be limited to):
Development of novel technologies to enhance brain mapping
Development of disease-specific imaging probes for early diagnosis of brain disorders
Brain simulation and neuromorphic computing
Application of optogenetics to the study of brain function and dysfunction
Application of stem cell technologies to the study of brain function and dysfunction
Application of technologies in genomics, proteomics and metabolomics to brain science
Big data in electronic medical records for brain disorders
Discovery of peripheral biomarkers for brain disorders in blood, cerebrospinal fluid, urine, etc.
Algorithm development for big data analysis in brain science
Integration of big data from multiple sources to understand brain function and dysfunction.
Reviews, original studies, databases, webservers, methods, application notes, protocols, etc. are all welcome. The portfolio will be open for incoming manuscripts till September 30, 2017. Accepted submissions will be published free of charge.
Manuscripts should be submitted online at http://ees.elsevier.com/gpb/ Please indicate that the submission is for this special issue. The detailed Guide for Authors is available on this website as well, with manuscript template and EndNote
Output style template provided.
For further information, please contact us:
Dr. Lei (email@example.com);
Dr. Jin (firstname.lastname@example.org);
Editorial Office (email@example.com).