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Increasing consensus of context-specific metabolic models by integrating data-inferred cell function...

Increasing consensus of context-specific metabolic models by integrating data-inferred cell function...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2250643042

Increasing consensus of context-specific metabolic models by integrating data-inferred cell functions

About this item

Full title

Increasing consensus of context-specific metabolic models by integrating data-inferred cell functions

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2019-04, Vol.15 (4), p.e1006867

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Genome-scale metabolic models provide a valuable context for analyzing data from diverse high-throughput experimental techniques. Models can quantify the activities of diverse pathways and cellular functions. Since some metabolic reactions are only catalyzed in specific environments, several algorithms exist that build context-specific models. Howe...

Alternative Titles

Full title

Increasing consensus of context-specific metabolic models by integrating data-inferred cell functions

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2250643042

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2250643042

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1006867

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