
This repository contains supplemental files for the paper "Whole-brain annotation and multi-connectome cell typing of Drosophila" - Schlegel et al., Nature (2024). nblast_flywire_all_right_aba_comp.feather contains all-by-all NBLAST score for all FlyWire neurons where neurons from the left hemisphere have been mirrored to the right nblast_flywire_hemibrain_min_comp.feather contains NBLAST scores for FlyWire versus "hemibrain" neurons nblast_flywirre_mirrored_hemibrain_comp.feather contains NBLAST scores for FlyWire versus "hemibrain" neurons where all FlyWire neurons have been mirrored sk_lod_783_healed_ds2.parquet contains skeletons in SWC format for all FlyWire neurons (generated from lod 1 meshes and 2X downsampled, coordinates are in nanometres); the raw data can be read with e.g. the Python pyarrow package (see documentation for examples). Alternatively, you can use the navis Python package to read the contents into neuron objects (see navis.read_parquet). Additional notes: all root IDs refer to the 783 release of FlyWire for NBLAST files: columns/indices for FlyWire neurons are given as "{root_id},{supervoxel_id}", where the supervoxel ID represents an anchor that can be used to map this neuron to different materialization versions scores were compressed by rounding to the 4th decimal and clipping values below 0 For neuron annotations and further details please see https://github.com/flyconnectome/flywire_annotations. The proofreading and FlyWire resource are described in our companion paper (Dorkenwald et al., Nature, 2024).
Funding for this project came from NIH NIMH BRAIN Initiative grant 1RF1MH120679-01, Wellcome Trust Collaborative Award 203261/Z/16/Z, Wellcome Trust Collaborative Award 220343/Z/20/Z, Neuronex2 award (MRC MC_EX_MR/T046279/1) and core support from the MRC (MC-U105188491).
connectomics flywire hemibrain nblast skeletons
connectomics flywire hemibrain nblast skeletons
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