We are proud to announce a major new VFB release. This sees some very significant enhancements to the data we serve: we have now mapped ~50% of the >16,000 single neurons from FlyCircuit to published neuron classes; we now host almost 18,000 images of VT lines along with curation of where they are expressed.
An example of the detailed image data available for neuron classes can be see by querying for neurons with synaptic terminals in the protocerebral bridge and sorting on available images. 111 of the 137 neuron classes returned are illustrated by one or more single neuron images:
This particular data comes from combining NBLAST clusters (described in a recent paper from VFB’s Marta Costa and Greg Jefferis) and detailed curation of the paper from Ann-Shyn Chiang’s group ‘A comprehensive wiring diagram of the protocerebral bridge for visual information processing in the Drosophila brain.’
We are working on integrating NBLAST queries directly into VFB, so soon you’ll be able obtain lists of predicted driver lines directly from neuron classes.
We now have ~18,000 images of VT expression patterns. Registered data kindly donated by Barry Dickson (Janelia/IMP), Katja Buhler (VRVis) and colleagues was bridged from the original T1 template space to the JFRC2 template used on the VFB site.
The VT lines are indexed to gross neuropils (data from BrainBase), e.g.
They are also indexed to individual neurons (curated from the literature):
This release also includes many more minor enhancements and extensions to data via curation by VFB and FlyBase of anatomy, expression and phenotypes.
We are delighted to announce the official release of VFB 1.5. This
has already been available in beta for some time. It will become the
official version of VFB on Monday 15th Feb.
The new site features a new look and feel, a much improved image
browser and better integration of images into search results. Please
let us know what you think. Your feedback is essential to our
The main focus of development is now our new 3D browser (watch this
space for demos) and improvements to our data architecture to speed
up the site, extend queries and support new visualisation tools.
You can now use NBLAST to find similar neurons, or GAL4 drivers that label a neuron of interest. The implementation is described here, and the how, with video demos here. You can start NBLASTing right away on the online app!
Neurons listed in the NBLAST results are linked to VFB, so you can see them on the viewer, together with any other image.
And see here how to find GAL4 drivers that label specific neurons.
We’re looking for a web developer to help us build VFB 2.0. Please share with anyone you think may be interested. Details:
Are you interested in the challenge of designing web tools to provide accurate answers to biologically important questions couched in the language of biology? Are you interested in the challenges of communicating and interacting with 3D image data? Do you have an eye for web design?
Virtual Fly Brain are looking for a front end web developer to help redesign our site.
Virtual Fly Brain is a data integration hub for Drosophila neurobiology. We already integrate thousands of descriptions of neuroanatomy along with 10s of thousands of annotations of expression and 3D images of neuroanatomy. We have a clear semantic schema that provides the functionality our users need, and that runs from curation, through our OWL-based data models. Our new site must communicate these semantics clearly and elegantly whilst integrating an interactive 3D browser for images of neuroanatomy.
Details of the position, which is a combined post working with both VFB and The European Bank for induced pluripotent stem cells, are available on the EBI site.