Click for 3D rendering of cluster

About

Scores are NBLAST (version 2) similarity scores between each neuron and the exemplar (fru-M-600070), normalised to the self-score of the exemplar. The higher the better! Scores > 0 indicate a match of some sort. Excellent matches will have scores > 0.5.

Do you recognise any of the neurons in this cluster? Email us!

Credits

Raw data provided by flycircuit.tw as described in Three-Dimensional Reconstruction of Brain-wide Wiring Networks in Drosophila at Single-Cell Resolution by Ann-Shyn Chiang et al.

Image processing carried out with unu, CMTK, and Fiji.

Further processing carried out in R with nat. Clustering used package apcluster. 3D visualisation written from rgl by writeWebGL.

Similar clusters

The most similar clusters to this one are:

Cluster Exemplar Supercluster Exemplar normalised score
804 Trh-F-500188 VIII 0.63
801 Trh-F-600102 VIII 0.53
803 Trh-F-700063 VIII 0.41
960 VGlut-F-500219 VIII 0.38
652 Tdc2-F-200010 VIII 0.37

Cluster composition

This cluster has 36 neurons. The exemplar of this cluster (fru-M-600070) is drawn in black.

Neuron idid Gene name Driver Sex Raw score Normalised score
fru-M-600070 494 FruMARCM-M001591_seg001 fru-Gal4 M 13940.42 1.00
fru-M-200325 8 FruMARCM-M002578_seg002 fru-Gal4 M 9556.10 0.69
fru-M-600097 72 FruMARCM-M002270_seg001 fru-Gal4 M 10421.21 0.73
fru-M-500233 166 FruMARCM-M002386_seg001 fru-Gal4 M 10154.30 0.67
fru-M-200300 267 FruMARCM-M002493_seg001 fru-Gal4 M 10766.76 0.75
fru-M-700184 286 FruMARCM-M002510_seg003 fru-Gal4 M 9879.52 0.68
fru-M-300183 454 FruMARCM-M001563_seg001 fru-Gal4 M 9186.65 0.68
fru-M-100158 528 FruMARCM-M001649_seg001 fru-Gal4 M 9617.61 0.68
fru-M-800070 611 FruMARCM-M001800_seg001 fru-Gal4 M 10059.77 0.68
fru-M-200220 640 FruMARCM-M001849_seg001 fru-Gal4 M 9592.71 0.67
fru-M-500176 684 FruMARCM-M001888_seg001 fru-Gal4 M 9015.68 0.67
fru-M-500183 704 FruMARCM-M001906_seg001 fru-Gal4 M 10015.05 0.71
fru-M-400187 810 FruMARCM-M002018_seg001 fru-Gal4 M 10409.72 0.72
fru-M-500213 855 FruMARCM-M002108_seg001 fru-Gal4 M 10055.12 0.70
fru-M-800044 985 FruMARCM-M001165_seg001 fru-Gal4 M 8606.41 0.58
fru-M-500114 1026 FruMARCM-M001206_seg001 fru-Gal4 M 10026.70 0.70
fru-M-300138 1070 FruMARCM-M001248_seg001 fru-Gal4 M 9354.43 0.65
fru-M-300152 1161 FruMARCM-M001348_seg002 fru-Gal4 M 7760.18 0.62
fru-M-900033 1179 FruMARCM-M001362_seg001 fru-Gal4 M 10407.65 0.72
fru-M-600069 1276 FruMARCM-M001463_seg001 fru-Gal4 M 10096.89 0.70
fru-M-100075 1497 FruMARCM-M001049_seg001 fru-Gal4 M 10051.26 0.71
fru-M-600023 1855 FruMARCM-M000372_seg001 fru-Gal4 M 8466.76 0.63
fru-M-600001 2409 FruMARCM-M000130_seg001 fru-Gal4 M 9417.38 0.61
fru-M-900018 2437 FruMARCM-M000154_seg001 fru-Gal4 M 9335.35 0.68
fru-M-500000 2475 FruMARCM-M000231_seg001 fru-Gal4 M 9622.12 0.65
fru-F-600122 3704 FruMARCM-F002192_seg001 fru-Gal4 F 9525.69 0.71
fru-F-100093 3829 FruMARCM-F002653_seg001 fru-Gal4 F 10202.12 0.72
fru-F-300063 6195 FruMARCM-F001124_seg001 fru-Gal4 F 9639.55 0.68
fru-F-100049 6278 FruMARCM-F001308_seg001 fru-Gal4 F 9991.35 0.71
fru-F-600078 6307 FruMARCM-F001426_seg001 fru-Gal4 F 9824.06 0.70
fru-F-700140 6311 FruMARCM-F001430_seg001 fru-Gal4 F 9661.09 0.70
fru-F-700146 6335 FruMARCM-F001485_seg001 fru-Gal4 F 10030.42 0.65
fru-F-700072 7279 FruMARCM-F000913_seg001 fru-Gal4 F 9354.44 0.64
fru-F-700095 7330 FruMARCM-F000967_seg001 fru-Gal4 F 9062.97 0.64
fru-F-500137 7821 FruMARCM-F000714_seg001 fru-Gal4 F 9380.07 0.66
Cha-F-700012 10097 ChaMARCM-F000053_seg002 Cha-Gal4 F 3626.39 0.33