UCHIME vs. ChimeraSlayer
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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.

UPARSE tutorial video posted on YouTube. Make OTUs from MiSeq reads.



UCHIME vs. ChimeraSlayer

See also
Chimera benchmark home

UCHIME and ChimeraSlayer
Below are Figs. 5 (left) and Fig. 4 (right) from Edgar et al. (2011). Fig 5. shows sensitivity and error rate measured on a set of simulated chimeric sequences of length 200 with from 0% to 5% errors introduced. The simulated chimeras have two segments. Fig 4. shows sensitivity on a different set of simulated chimeras with two, three or four segments (columns). Rows are divergence ranges (divergence is the identity of the chimera with the most similar parent sequence). These results show that UCHIME (reference database mode) has significantly better sensitivity and lower error rate than ChimeraSlayer.