recipe metaclassifier

MetaClassifier is an integrated pipeline for classifying and quantifying DNA metabarcoding data into taxonomy groups



GPL3 / GNU General Public v3 (GPLv3)



MetaClassifier is an integrated pipeline for identifying the floral composition of honey using DNA metabarcoding to determine the plants that honey bees visit. MetaClassifier utilizes a database of marker sequences and their corresponding taxonomy lineage information to classify high-throughput metabarcoding sample sequencing reads data into taxonomic groups and quantify taxon abundance. MetaClassifier can also be employed in other studies that utilize barcoding, metabarcoding, and metagenomics techniques to characterize richness, abundance, relatedness, and interactions in ecological communities.

package metaclassifier

(downloads) docker_metaclassifier



Required By:


With an activated Bioconda channel (see set-up-channels), install with:

conda install metaclassifier

and update with:

conda update metaclassifier

or use the docker container:

docker pull<tag>

(see metaclassifier/tags for valid values for <tag>)

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