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Metaxa2 Database Builder: enabling taxonomic identification from metagenomic or metabarcoding data using any genetic marker.

Johan Bengtsson-Palme | Rodney T Richardson | Marco Meola | Christian Wurzbacher | Émilie D Tremblay | Kaisa Thorell | Kärt Kanger | K Martin Eriksson | Guillaume J Bilodeau | Reed M Johnson | Martin Hartmann | R Henrik Nilsson
Bioinformatics (Oxford, England) | 2018

Correct taxonomic identification of DNA sequences is central to studies of biodiversity using both shotgun metagenomic and metabarcoding approaches. However, no genetic marker gives sufficient performance across all the biological kingdoms, hampering studies of taxonomic diversity in many groups of organisms. This has led to the adoption of a range of genetic markers for DNA metabarcoding. While many taxonomic classification software tools can be re-trained on these genetic markers, they are often designed with assumptions that impair their utility on genes other than the SSU and LSU rRNA. Here, we present an update to Metaxa2 that enables the use of any genetic marker for taxonomic classification of metagenome and amplicon sequence data.

Pubmed ID: 29912385

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This is a list of tools and resources that we have found mentioned in this publication.


MAFFT (tool)

RRID:SCR_011811

Software package as multiple alignment program for amino acid or nucleotide sequences. Can align up to 500 sequences or maximum file size of 1 MB. First version of MAFFT used algorithm based on progressive alignment, in which sequences were clustered with help of Fast Fourier Transform. Subsequent versions have added other algorithms and modes of operation, including options for faster alignment of large numbers of sequences, higher accuracy alignments, alignment of non-coding RNA sequences, and addition of new sequences to existing alignments.

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