DOC_ID : T11-0001

Doc_ID: A08-0001Silva138NBscikit0.24.1

Editor : Anita

Reviewer: 

Description

Taxonomic classifiers perform best when they are trained based on your specific sample preparation and sequencing parameters, including the primers that were used for amplification and the length of your sequence reads.

Silva taxonomy classifiers is developing and maintaining by QIIME2.

Source

Download URL : https://data.qiime2.org/2021.8/common/silva-138-99-515-806-nb-classifier.qza

File size : 141MB

Genome assemble version : Silva 138 99% OTUs from 515F/806R region of sequences

Detail information :

    The classifier supply from QIIME2 officer web by Naive Bayes classifiers  trained on Silva 138 99% OTUs from 515F/806R region of sequences.

    The classifier was trained using scikit-learn 0.24.1, and therefore can only be used with scikit-learn 0.24.1. If you observe errors related to scikit-learn version mismatches, please ensure you are using the pretrained-classifier that waw published with the release of QIIME 2 you are using.

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