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qiime vsearch uchime-denovo (version 2019.4)

De novo chimera filtering with vsearch.

Apply the vsearch uchime_denovo method to identify chimeric feature sequences. The results of this method can be used to filter chimeric features from the corresponding feature table. For additional details, please refer to the vsearch documentation.

Parameters

sequences : FeatureData[Sequence]
The feature sequences to be chimera-checked.
table : FeatureTable[Frequency]
Feature table (used for computing total feature abundances).
dn : Float % Range(0.0, None), optional
No vote pseudo-count, corresponding to the parameter n in the chimera scoring function.
mindiffs : Int % Range(1, None), optional
Minimum number of differences per segment.
mindiv : Float % Range(0.0, None), optional
Minimum divergence from closest parent.
minh : Float % Range(0.0, 1.0, inclusive_end=True), optional
Minimum score (h). Increasing this value tends to reduce the number of false positives and to decrease sensitivity.
xn : Float % Range(1.0, None, inclusive_start=False), optional
No vote weight, corresponding to the parameter beta in the scoring function.

Returns

chimeras : FeatureData[Sequence]
The chimeric sequences.
nonchimeras : FeatureData[Sequence]
The non-chimeric sequences.
stats : UchimeStats
Summary statistics from chimera checking.