Pathway Tools Visualization of Organism-Scale Metabolic Networks.
Pathway Tools Visualization of Organism-Scale Metabolic Networks.
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DOI:
10.3390/metabo11020064
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发表时间:
2021-01-22
期刊:
影响因子:
4.1
通讯作者:
Karp PD
中科院分区:
文献类型:
--
作者:
Paley S;Billington R;Herson J;Krummenacker M;Karp PD
Metabolomics, synthetic biology, and microbiome research demand information about organism-scale metabolic networks. The convergence of genome sequencing and computational inference of metabolic networks has enabled great progress toward satisfying that demand by generating metabolic reconstructions from the genomes of thousands of sequenced organisms. Visualization of whole metabolic networks is critical for aiding researchers in understanding, analyzing, and exploiting those reconstructions. We have developed bioinformatics software tools that automatically generate a full metabolic-network diagram for an organism, and that enable searching and analyses of the network. The software generates metabolic-network diagrams for unicellular organisms, for multi-cellular organisms, and for pan-genomes and organism communities. Search tools enable users to find genes, metabolites, enzymes, reactions, and pathways within a diagram. The diagrams are zoomable to enable researchers to study local neighborhoods in detail and to see the big picture. The diagrams also serve as tools for comparison of metabolic networks and for interpreting high-throughput datasets, including transcriptomics, metabolomics, and reaction fluxes computed by metabolic models. These data can be overlaid on the metabolic charts to produce animated zoomable displays of metabolic flux and metabolite abundance. The BioCyc.org website contains whole-network diagrams for more than 18,000 sequenced organisms. The ready availability of organism-specific metabolic network diagrams and associated tools for almost any sequenced organism are useful for researchers working to better understand the metabolism of their organism and to interpret high-throughput datasets in a metabolic context.
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影响因子:
4.3
作者:
King ZA;Dräger A;Ebrahim A;Sonnenschein N;Lewis NE;Palsson BO
通讯作者:
Palsson BO
影响因子:
17.3
作者:
Karp, PP;Krummenacker, M;Wagg, J
通讯作者:
Wagg, J
DOI:
10.1007/978-1-61779-361-5_11
发表时间:
2012-01-01
期刊:
BACTERIAL MOLECULAR NETWORKS: METHODS AND PROTOCOLS
影响因子:
--
作者:
Latendresse, Mario;Paley, Suzanne;Karp, Peter D.
通讯作者:
Karp, Peter D.
影响因子:
5.8
作者:
Latendresse, Mario;Krummenacker, Markus;Karp, Peter D.
通讯作者:
Karp, Peter D.
影响因子:
14.9
作者:
Paley, Suzanne M.;Karp, Peter D.
通讯作者:
Karp, Peter D.