Publication | Open Access
Tax4Fun2: a R-based tool for the rapid prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene marker gene sequences
67
Citations
42
References
2018
Year
Unknown Venue
EngineeringGeneticsRapid PredictionGenomicsMicrobial CommunityMolecular EcologyComputational GenomicsMicrobial EcologyEnvironmental MicrobiologyHabitat-specific Functional ProfilesMicrobial DiversityGenome StudySequence AnalysisFunctional CapabilityMicrobiomeFunctional RedundancyFunctional GenomicsBioinformaticsBiologyMicrobial SystematicsGene Sequence AnnotationComputational BiologyMicrobiologySystems BiologyMedicine
Assessing the functional capability and redundancy of a microbial community is a major challenge in environmental microbiology. To address this challenge, we developed Tax4Fun2, a R-based tool for the rapid prediction of functional profiles and functional redundancy of prokaryotic communities from 16S rRNA gene sequences. By incorporating user-defined, habitat-specific genomic information, the accuracy and robustness of predicted functional profiles can be substantially enhanced.
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