Installation

dbotu3 is also on conda and can be installed as follows:

conda install -c cduvallet -c conda-forge dbotu

For QIIME 2 users, dbotu3 is also available as a plugin.

The PyPi package is no longer update.

Requirements

• Numpy, SciPy, BioPython, Pandas

• Levenshtein

Version history

• 1.1: Corrected error where sequence IDs that could be read as integers would not be found in the table

• 1.2: Python 2 compatibility, tox test framework, warnings for improperly-formatted sequence count tables

• 1.2.1: Added setup requirements

• 1.3.0: Improved OTU file header. Split the log file into a debug and progress log.

• 1.4.0: Made an improvement to the Levenshtein-based genetic dissimilarity metric.

• 1.4.1: Account for pandas API change to MultiIndex

• 1.5.0: Added the restart and rep seq scripts

• 1.5.1: New function for Qiime2 compatibility

• 1.5.2: Move files around to make this a Python package (rather than dbotu.py script)

• 1.5.3: Point to conda, rather than PyPi, installation

To-do

• Testing for the restart scripts

• Better coverage for unit tests

Citation

If you use dbOTU3 in a scientific paper, we ask that you cite the original dbOTU publication (Preheim et al.) or the dbOTU3 publication:

Preheim et al. Distribution-Based Clustering: Using Ecology To Refine the Operational Taxonomic Unit. Appl Environ Microbiol (2013) doi:10.1128/AEM.00342-13.

Olesen SW, Duvallet C, and Alm EJ. dbOTU3: A new implementation of distribution-based OTU calling. PLoS ONE (2017) doi:10.1371/journal.pone.0176335.

Author

If you find a bug or have a request for a new feature, open an issue.

Scott Olesen / swo at alum.mit.edu