Click for 3D rendering of cluster

About

Scores are NBLAST (version 2) similarity scores between each neuron and the exemplar (fru-M-000099), 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
125 fru-M-000004 XVI 0.77
26 fru-M-200296 XVI 0.73
94 fru-M-600056 XVI 0.65
419 fru-F-200021 XVI 0.65
522 Cha-F-300056 XVI 0.61
533 Cha-F-900008 XVI 0.59
407 fru-F-600073 XVI 0.57

Cluster composition

This cluster has 42 neurons. The exemplar of this cluster (fru-M-000099) is drawn in black.

Neuron idid Gene name Driver Sex Raw score Normalised score
fru-M-000099 573 FruMARCM-M001763_seg001 fru-Gal4 M 6867.71 1.00
fru-M-300176 429 FruMARCM-M001546_seg002 fru-Gal4 M 4577.28 0.63
fru-M-800072 613 FruMARCM-M001801_seg002 fru-Gal4 M 3891.37 0.56
fru-M-300205 635 FruMARCM-M001845_seg002 fru-Gal4 M 4762.71 0.67
fru-M-500197 743 FruMARCM-M001957_seg002 fru-Gal4 M 4285.88 0.65
fru-M-200232 750 FruMARCM-M001965_seg001 fru-Gal4 M 4831.41 0.69
fru-M-100179 826 FruMARCM-M002030_seg002 fru-Gal4 M 5274.34 0.74
fru-M-800046 996 FruMARCM-M001177_seg001 fru-Gal4 M 4203.56 0.61
fru-M-300157 1251 FruMARCM-M001437_seg003 fru-Gal4 M 5039.81 0.73
fru-M-600067 1274 FruMARCM-M001462_seg002 fru-Gal4 M 4803.03 0.68
fru-M-500085 1438 FruMARCM-M001010_seg001 fru-Gal4 M 4688.48 0.67
fru-M-500096 1508 FruMARCM-M001057_seg002 fru-Gal4 M 4809.68 0.71
fru-M-300116 1545 FruMARCM-M001078_seg001 fru-Gal4 M 4840.74 0.67
fru-M-000024 1606 FruMARCM-M000723_seg002 fru-Gal4 M 5107.25 0.73
fru-M-600017 1760 FruMARCM-M000249_seg002 fru-Gal4 M 4385.73 0.63
fru-M-200050 1822 FruMARCM-M000343_seg001 fru-Gal4 M 5171.96 0.76
fru-M-400036 1885 FruMARCM-M000422_seg002 fru-Gal4 M 4734.54 0.68
fru-M-300053 1898 FruMARCM-M000435_seg001 fru-Gal4 M 4848.58 0.68
fru-M-900016 2419 FruMARCM-M000140_seg001 fru-Gal4 M 5141.47 0.73
fru-M-300033 2470 FruMARCM-M000226_seg001 fru-Gal4 M 4467.54 0.66
fru-F-200115 4602 FruMARCM-F001720_seg002 fru-Gal4 F 4510.43 0.65
Cha-F-500162 5641 ChaMARCM-F000917_seg002 Cha-Gal4 F 4330.83 0.61
VGlut-F-700572 5771 DvGlutMARCM-F004476_seg001 VGlut-Gal4 F 4872.31 0.70
fru-F-000060 6352 FruMARCM-F001499_seg004 fru-Gal4 F 5111.47 0.73
VGlut-F-200583 6659 DvGlutMARCM-F004401_seg002 VGlut-Gal4 F 5123.81 0.72
Cha-F-700140 7126 ChaMARCM-F000595_seg001 Cha-Gal4 F 3401.87 0.46
Cha-F-400085 7488 ChaMARCM-F000356_seg001 Cha-Gal4 F 3915.81 0.57
Cha-F-400103 7569 ChaMARCM-F000432_seg001 Cha-Gal4 F 4242.65 0.60
fru-F-400088 7852 FruMARCM-F000761_seg002 fru-Gal4 F 4839.96 0.66
Cha-F-900006 8093 ChaMARCM-F000153_seg002 Cha-Gal4 F 3857.80 0.60
Cha-F-700034 8106 ChaMARCM-F000160_seg001 Cha-Gal4 F 4019.47 0.59
Cha-F-700062 8189 ChaMARCM-F000202_seg001 Cha-Gal4 F 4513.77 0.66
Gad1-F-400069 9479 GadMARCM-F000374_seg001 Gad1-Gal4 F 4457.58 0.64
Gad1-F-500078 9533 GadMARCM-F000416_seg001 Gad1-Gal4 F 4533.07 0.67
Gad1-F-900031 9563 GadMARCM-F000438_seg001 Gad1-Gal4 F 4646.27 0.68
Gad1-F-300128 9627 GadMARCM-F000487_seg001 Gad1-Gal4 F 5044.56 0.73
Cha-F-000011 10151 ChaMARCM-F000087_seg001 Cha-Gal4 F 4749.57 0.69
Gad1-F-800012 10687 GadMARCM-F000188_seg001 Gad1-Gal4 F 4777.00 0.70
Gad1-F-900018 11214 GadMARCM-F000200_seg001 Gad1-Gal4 F 4124.28 0.62
fru-X-100000 11549 FruMARCM-X000020_seg001 fru-Gal4 F 4763.61 0.68
VGlut-F-200402 11787 DvGlutMARCM-F002353_seg001 VGlut-Gal4 F 3657.48 0.52
VGlut-F-100177 15345 DvGlutMARCM-F1693_seg1 VGlut-Gal4 F 4964.86 0.71