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Empirically characterized biosynthetic gene clusters used as positive controls.

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posted on 2021-09-27, 17:23 authored by Gabriel A. Vignolle, Denise Schaffer, Leopold Zehetner, Robert L. Mach, Astrid R. Mach-Aigner, Christian Derntl

Empirically characterized biosynthetic gene clusters used as positive controls.

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FunOrder: A robust and semi-automated method for the identification of essential biosynthetic genes through computational molecular co-evolution
PLOS Computational BiologyPLOS Computational Biology

Categories

  • Biochemistry
  • Microbiology
  • Genetics
  • Pharmacology
  • Evolutionary Biology
  • Environmental Sciences not elsewhere classified
  • Chemical Sciences not elsewhere classified
  • Biological Sciences not elsewhere classified
  • Cancer
  • Infectious Diseases

Keywords

suitable proteome databasegenomic data availablefacilitate heterologous expressionbiosynthetic gene clustersdifferent output formatsdistinguishing essential genescomputational molecular cobgcs may containcalled gap genesessential biosynthetic genesevolution </ pessential genesgap genesbiosynthetic pathwaydifferent structuresvast grouptranscriptome analysesphylogenetic treenovel plasticsnative hostsmany casesidentify bgcsgrowing numberfood additivesevolutionary linkedevolution analysisdetect cobgcs ).

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