Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data

• Published in: Bioinformatics Vol. 31; no. 17; pp. 2882 - 2884
• Main Authors: Aßhauer, Kathrin P., Wemheuer, Bernd, Daniel, Rolf, Meinicke, Peter
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.09.2015
• Subjects: Applications Notes; Bacteria - classification; Bacteria - genetics; Bioinformatics; Communities; Computational Biology - methods; Databases, Factual; Databases, Nucleic Acid; Gene sequencing; Genes; Genes, Bacterial - genetics; Genetic Markers; Markers; Metagenome; Metagenomics - methods; Microorganisms; Phylogeny; RNA, Bacterial - genetics; RNA, Ribosomal, 16S - genetics; Sequence Analysis, RNA - methods; Sequencing; Shotguns; Software

Motivation: 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 phylogenet...