UCHIME vs. UPARSE
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11-Aug-2018 New paper describes octave plots for visualizing alpha diversity.

12-Jun-2018 New paper shows that one in five taxonomy annotations in SILVA and Greengenes are wrong.

18-Apr-2018 New paper shows that taxonomy prediction accuracy is <50% for V4 sequences.

05-Oct-2017 PeerJ paper shows low accuracy of closed- and open-ref. QIIME OTUs.

22-Sep-2017 New paper shows 97% threshold is wrong, OTUs should be 99% full-length 16S, 100% for V4.

24-Nov-2016
UPARSE tutorial video posted on YouTube. Make OTUs from MiSeq reads.

 

USEARCH v11

UCHIME vs. UPARSE

See also
 
Chimera benchmark home
  UPARSE-OTU algorithm with chimera filtering (cluster_otus command).

UCHIME and UPARSE compared for OTU clustering
Below is Fig 1(a) from the UPARSE paper.
Magenta segments in the pie chart show the fraction of chimeric OTUs generated by several algorithms on a mock community test. The QIIME and mothur pipelines used UCHIME for chimera detection. Notice that even after UCHIME filtering, about 50% of the OTUs generated by QIIME and mothur are chimeric, while UPARSE successfully filters all chimeras from Illumina reads and leaves only one chimeric OTU with 454 reads.
Image