Video talks on 16S data analysis posted.

URMAP ultra-fast read mapper posted (paper).

~20% of taxonomy annotations in SILVA and Greengenes are wrong (paper).

Taxonomy prediction is <50% accurate for 16S V4 sequences (paper).

97% OTU threshold is wrong for species, should be 99% for full-length 16S, 100% V4 (paper).

Random forest k-fold validation tabbed output file

Tabbed text file containing classifier accuracy and a ROC curve for each iteration of a k-fold validation.

The iteration 0, 1, 2... is the second field.

Fields for each iteration include:

iter_acc = classification accuracy (fraction of predictions which are correct).
iter_auc = area under the ROC curve.
iter_meanpe = Mean error probability.
iter_mse = Mean squared error.
iter_roc = Number of TPR, FPR points in the ROC curve.