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Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data
Author(s) -
Kathrin Petra Aßhauer,
Bernd Wemheuer,
Rolf Daniel,
Peter Meinicke
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv287
Subject(s) - metagenomics , shotgun sequencing , 16s ribosomal rna , biology , computational biology , shotgun , phylogenetic tree , ribosomal rna , amplicon , dna sequencing , genetics , gene , polymerase chain reaction
The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker genes, such as 16S rRNA, is a powerful tool for assessing and comparing the structure of microbial communities at a high phylogenetic resolution. Because 16S rRNA sequencing is more cost-effective than whole metagenome shotgun sequencing, marker gene analysis is frequently used for broad studies that involve a large number of different samples. However, in comparison to shotgun sequencing approaches, insights into the functional capabilities of the community get lost when restricting the analysis to taxonomic assignment of 16S rRNA data.

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