bionic-vis

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

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Homo sapiens (Human) no comment 15683001245436	Homo sapiens (Human) no comment 15682993514980	Homo sapiens (Human) no comment 15682992631322	Homo sapiens (Human) no comment 15682978576346	Homo sapiens (Human) no comment 15682954840388
Homo sapiens (Human) no comment 15682913938961	Homo sapiens (Human) no comment 15682896828707	Homo sapiens (Human) no comment 15682890415794	Homo sapiens (Human) no comment 15682886184833	Homo sapiens (Human) no comment 15682875503958

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Escherichia coli K-12 MG1655 no comment 15688687113871	Mus musculus (Mouse) no comment 15688127032240	Mus musculus (Mouse) no comment 15688124388743	Homo sapiens (Human) no comment 15688071874756	Homo sapiens (Human) no comment 15688061865783
Homo sapiens (Human) no comment 15687556584685	Homo sapiens (Human) IL1b 15687536435870	Bacillus subtilis 168 (Hay bacillus) no comment 15687516462585	Bacillus subtilis 168 (Hay bacillus) no comment 15687513331071	Homo sapiens (Human) TNFa 15687507019471

Before setting up an individual treemap template these issues need to be considered.
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edit tmd data? Insert an example?	text tree
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Mesoplasma florum L1 (19-09-16 DM V3A1) All ORFS, only molecules types 15686467325256	Mammals unique (adapted by EK 16092019) (adapted by EK 16092019) no comment 15686299853198	Anthony Woolls hi there We all know there are no tricks with google anymore So, instead of looking for ways to trick google, why not perform a whitehat results driven monthly SEO Plan instead. Check out our plans https://googlealexarank.com/index.php/seo-packages/ We know how to get you into top safely, without risking your investment during google updates thanks and regards Steve stevewebberr@mail.com 15684979707166	Mammals Order not all orders included 15682031408989	Mammals unique (adapted by EK 11092019) not all orders included 15682011536279
gypsum_desert1 (adapted by EQ 09092019) no comment 15680526407114	gypsum_metagenome no comment 15680490989586	Mesoplasma florum (DM 19-09-09 V2D1) tree v2D1, rgb v1, prot, mRNA and rtRNA 15680381477181	halte_2015_v2 no comment 15679827935597	halite_2015_v1 no comment 15679813013674

organism?	select
comment?
tsv file?	browse
or data? Insert an example? Please consider!
cushioning?

world kingdom biomass no comment 15688125573497	Mesoplasma florum L1 (19-09-16 DM V3A1) All molecules abundances all ORFs 15686469744662	Mammals unique (adapted by EK 16092019) (adapted by EK 16092019) no comment 15686316082856	Mammals unique (adapted by EK 16092019) (adapted by EK 16092019) no comment 15686301265303	Mammals Order no comment 15682033099947
Mammals unique (adapted by EK 11092019) no comment 15682012901161	gypsum_desert1 (adapted by EQ 09092019) no comment 15680533612796	gypsum_metagenome no comment 15680497166364	Mesoplasma florum (DM 19-09-09 V2D1) tree v2D1, rgb v1, prot, mRNA and rtRNAs, Molecules, cushion 15680416671536	Mesoplasma florum (DM 19-09-09 V2D1) tree V2D1, rgb v1, prot, mRNA and rtRNAs, MASS, cushion 15680410502778

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 GmbH.
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.