Bionic Visualizations

Proteomaps
Proteomaps show the quantitative composition of proteomes. Each protein is represented by a polygon: areas reflect protein abundance, and functionally related proteins are arranged in common and similarly colored regions. For further reading please see www.proteomaps.net
organism?
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cushioning?
no comment
Mus musculus (Mouse)
no comment
17915756468877
no comment
Mus musculus (Mouse)
no comment
17915756468876
SD
Homo sapiens (Human)
SD
17914968594189
SD
Homo sapiens (Human)
SD
17914926011203
SD
Homo sapiens (Human)
SD
17914907942769
SD
Homo sapiens (Human)
SD
17914899436061
no comment
Homo sapiens (Human)
no comment
17914886162571
no comment
Homo sapiens (Human)
no comment
17903572437146
GBS
Homo sapiens (Human)
GBS
17893852016091
no comment
Homo sapiens (Human)
no comment
17893846823738
organism?
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hoch in B W12 (vs. B 00)
Homo sapiens (Human)
hoch in B W12 (vs. B 00)
17921402453896
hoch in B 00 (vs. B W12)
Homo sapiens (Human)
hoch in B 00 (vs. B W12)
17921402212083
hoch in B 00 (vs. B W01)
Homo sapiens (Human)
hoch in B 00 (vs. B W01)
17921401245281
no comment
Homo sapiens (Human)
no comment
17921400007905
hoch in B W12 (vs. A W12)
Homo sapiens (Human)
hoch in B W12 (vs. A W12)
17921399090253
hoch in A W12 (vs. B W12)
Homo sapiens (Human)
hoch in A W12 (vs. B W12)
17921398885523
hoch in B W08 (vs. A W08)
Homo sapiens (Human)
hoch in B W08 (vs. A W08)
17921398662211
hoch in A W08 (vs. B W08)
Homo sapiens (Human)
hoch in A W08 (vs. B W08)
17921398452081
hoch in B W04 (vs. A W04)
Homo sapiens (Human)
hoch in B W04 (vs. A W04)
17921398231867
hoch in A W04 (vs. B W04)
Homo sapiens (Human)
hoch in A W04 (vs. B W04)
17921398014317
Before setting up an individual treemap template these issues need to be considered.
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user template previews
ribosomes
Mmar_2610 (adapted by F 15102026)
ribosomes
17921316643559
ribosomes
Tki_2610 (adapted by F 15102026)
ribosomes
17921314583976
ribosomes
Bsub_2610_2 (adapted by F 15102026)
ribosomes
17921312704836
ribosomes
Bsub_2610 (adapted by F 15102026)
ribosomes
17921312195895
matching anntation
Ecol_normal (adapted by F 15102026)
matching anntation
17921116062994
matching annotation
Ecol_normal (adapted by F 15102026)
matching annotation
17921112651388
matching annotation
Bsub_normal (adapted by F 15102026)
matching annotation
17921106530715
The AI behind Vantovo never stops learning. Every visitor it routes teaches the model something new, so your targeting only gets tighter over time. Start with a free 7-day trial and watch the results roll in.<br /><br />https://clck.ru/3WHFrk
Noella Samson
The AI behind Vantovo never stops learning. Every visitor it routes teaches the model something new, so your targeting only gets tighter over time. Start with a free 7-day trial and watch the results roll in.

https://clck.ru/3WHFrk
17920996790408
no comment
Ecoli_MG1655_KEGG_complete_corrected_color (adapted by S 15102026)
no comment
17920753408473
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Rozella Heredia
Imagine a system that gets smarter every single day it runs. That's Vantovo. Every visitor outcome feeds back into the model, sharpening your targeting as it learns what converts for your specific business. Try it free for a week, no contract required.

https://shorturl.at/FbTPx
17918416678948
organism?
comment?
tsv file?
browse
or data?
Insert an example?
Please consider!
cushioning?
f g
Tki_2610 (adapted by F 15102026)
f g
17921359181758
xs g
Tki_2610 (adapted by F 15102026)
xs g
17921358791558
Eco gluc
Bsub_2610 (adapted by F 15102026)
Eco gluc
17921344496059
eco LB
Bsub_2610 (adapted by F 15102026)
eco LB
17921344217725
eco0.2
Bsub_2610 (adapted by F 15102026)
eco0.2
17921343737219
f c
Mmar_2610 (adapted by F 15102026)
f c
17921343502583
xs c
Mmar_2610 (adapted by F 15102026)
xs c
17921343143392
rib37
Bsub_2610_2 (adapted by F 15102026)
rib37
17921342924980
lb37
Bsub_2610_2 (adapted by F 15102026)
lb37
17921342811277
gluc
Ecol_normal (adapted by F 15102026)
gluc
17921212082788
This website and the underlying treemap algorithm is provided for non profit research or/and academic organisations only.
The space proportional algorithm for the generation of Voronoi Treemaps has been implemented within the DFG Research Initiative SFB Transregio34 Z1.
For commercial applications please contact DECODON.
For individual access please set up a collaboration within academic research efforts with Jörg Bernhardt.
The idea of comparable treemaps for different biological species was born in Dec 2012 in a collaborative effort of Ron Milo, Weizmann Institute of Science; Wolfram Liebermeister, Charité - Universitätsmedizin Berlin and Jörg Bernhardt, Universität Greifswald.

If you have used Proteomaps for your research please cite:
Liebermeister W., Noor E., Flamholz A., Davidi D., Bernhardt J., and Milo R. (2014), Visual account of protein investment in cellular functions, PNAS 111 (23), 8488-8493.
Otto, A., Bernhardt, J., Meyer, H., Schaffer, M., Herbst, F.-A., Siebourg, J., Mäder, U., Lalk, M., Hecker, M., and Becher, D. (2010). Systems-wide temporal proteomic profiling in glucose-starved Bacillus subtilis.Nature Communications 1, 137.
Bernhardt J, Funke S, Hecker M, Siebourg J (2009) in Sixth International Symposium on Voronoi Diagrams, pp 233-241.
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