Tools to analyse connectomes, built on the natverse (R) and navis (Python). Full overview: flyconnectome.github.io/tools.
- drosophila_neurotransmitters: neurotransmitter ground truth for Drosophila cell types
- drosophila_neuropeptides: curated data on about 50 neuropeptides
- drosophila_cell_functions: literature-backed observations on neuronal cell types
- flywire_annotations: cell annotations for FlyWire
- nblast-scoremats: NBLAST scoring matrices
- cocoa: comparative connectomics in Python
- bigclust2: explore clusterings of connectome data
- acdc_py: AC/DC neuron matching in Python
- influencer: influence of one group of neurons on another, through all paths
- comorpher: transfers cell types between connectomes, using morphology and connectivity
- nat.ggplot: publication-quality 2D neuroanatomy renderings with ggplot2
- R: bancr (BANC) · neuprintr (neuPrint) · fafbseg (FlyWire) · malevnc (MANC) · malecns (male CNS) · crantr (CRANT) · fancr (FANC) · seatabler (SeaTable)
- Python: dvid_tools
- connectome-agents: AI skills for connectome analysis
- natmcp: gives coding agents current natverse knowledge
- BANC: brain and nerve cord connectome, on Harvard Dataverse