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qiime deblur denoise-16S (version 2019.4)

Deblur sequences using a 16S positive filter.

Perform sequence quality control for Illumina data using the Deblur workflow with a 16S reference as a positive filter. Only forward reads are supported at this time. The specific reference used is the 88% OTUs from Greengenes 13_8. This mode of operation should only be used when data were generated from a 16S amplicon protocol on an Illumina platform. The reference is only used to assess whether each sequence is likely to be 16S by a local alignment using SortMeRNA with a permissive e-value; the reference is not used to characterize the sequences.

Parameters

demultiplexed_seqs : SampleData[SequencesWithQuality | PairedEndSequencesWithQuality | JoinedSequencesWithQuality]
The demultiplexed sequences to be denoised.
trim_length : Int
Sequence trim length, specify -1 to disable trimming.
left_trim_len : Int % Range(0, None), optional
Sequence trimming from the 5' end. A value of 0 will disable this trim.
sample_stats : Bool, optional
If true, gather stats per sample.
mean_error : Float, optional
The mean per nucleotide error, used for original sequence estimate.
indel_prob : Float, optional
Insertion/deletion (indel) probability (same for N indels).
indel_max : Int, optional
Maximum number of insertion/deletions.
min_reads : Int, optional
Retain only features appearing at least min_reads times across all samples in the resulting feature table.
min_size : Int, optional
In each sample, discard all features with an abundance less than min_size.
hashed_feature_ids : Bool, optional
If true, hash the feature IDs.

Returns

table : FeatureTable[Frequency]
The resulting denoised feature table.
representative_sequences : FeatureData[Sequence]
The resulting feature sequences.
stats : DeblurStats
Per-sample stats if requested.