
Background
The brain, especially, has a complex anatomical structure and highly differentiated and organized functions. Therefore, successfully understanding of the brain requires sophisticated technology of computation for the integration of neuroscience with information sciences: neuroinformatics. To rise to this integration, OECD launched International Neuroinformatics Coordinating Facility (INCF)."INCF develops and maintains database and computational infrastructure for neuroscientists. Software tools and standards for the international neuroinformatics community are being developed through the INCF Programs. The INCF Digital Brain Atlasing Program is now integrating atlases of the rodent brain at different biological levels, from gene activity to large-scale structure, using a standard coordinate space (Waxholm space: http://www.incf.org/programs/atlasing/projects/waxholm-space). Supporting this aim is the associated Digital Atlasing Infrastructure, which facilitates access to a large range of spatially disparate data and tools.
Using the latest computation technology, you can do research in the virtual web space.
Presence of genes is invisible, however they carry important information of the basic brain function.
Making invisible gene expression visible and discover something new on the web.
Principle Idea
Creation of Digital Atlases for expression of bio-molecules, working with RIKEN, and
Data and Tools Sharing in the standard coordinate Waxholm Space (WHS) on the web organized by INCF.
1. Creation of Data
Discuss on the web about what and how data is to be open
Organize groups of fundraising for the data creation
Create bio-molecullar data-sets for brain atlasing using Transcriptome Tomography.
2. Sharing Data and Tools
Develop tools for data sharing
Develop tools for data analysis
Open analysed data on the web
Raise fund for sustain the open science
Contents
#1 Expression databases of fine resolution
creating 100 times more precise data than existing data-sets in ViBrism for gene expression atlas of the adult mouse brain.
#2 Cross-ages comparative research
analyzing developmental stages through embryos to the adult using underlying transcriptome (whole coding and non-coding genes) features of the mouse brain.
#3 Cross-species comparative research
#4 multiple bio-molecular expression databaseseliciting differences and similarities of anatomical structure, function and underlying transcriptome features among the brains of human and other species.
creating databases for proteins, sugars and lipids expression atlases.
Registration
mapping quantified data for sharing onto the virtual 3D-coordinate space (Waxholm Space: WHS)developing software for analyzing mapped data and other data (MRI etc.) in WHS
Bioinformatics
Based on anatomy ontology and gene ontology, statistically analyze expression data.
Time and Space (4D) Visualization
Developing interface for the visualization and making resources easy to manipulate and understand for many people.