What's TaxAss??

TaxAss is a Taxonomy Assignment workflow that lets you classify 16S datasets using two different taxonomy reference databases. TaxAss was developed so that the McMahon Lab's Freshwater Training Set (the FreshTrain) could be used for taxonomy assignment alongside comprehensive databases like Greengenes or Silva. We believe TaxAss will also work with other custom databases (so if that's you, get in touch!)

How do I TaxAss?

Step-by-step directions: tax-scripts/TaxAss_Directions.html

Please cite TaxAss: Rohwer RR, Hamilton JJ, Newton RJ, McMahon KD. 2018. TaxAss: Leveraging a Custom Freshwater Database Achieves Fine-Scale Taxonomic Resolution. mSphere 3:e00327-18.

TaxAss only assigns taxonomy, so you can use TaxAss after using mothur, dada2, vsearch, or whatever QC pipeline you prefer. TaxAss uses a series of R, python, and bash scripts in addition to using BLAST+ and mothur's classify.seqs() command. The scripts are sourced from the terminal window (mac or linux). You'll need to download this repository (green "Clone or download" button, top right), and add the tax-scripts folder to your working diriectory.

Where's the stuff I need?

The stuff you need:

1. Step by step directions are in TaxAss_Directions.html inside the tax-scripts folder (view without download here).
2. Scripts are in the tax-scripts folder.
3. The FreshTrain taxonomy files are in the FreshTrain-files folder.

The stuff you can ignore:

1. Scripts to process & edit the FreshTrain arb files are in the arb-scripts folder
2. Scripts for making the paper figures are in the figure-scripts folder.
3. A pdf of my ISME16 poster (that might be a good overview): poster-ISME16.pdf

What if it doesn't work?

Please tell me! If you find a bug (or if you get confused) I want to fix it/help you. If you're all github savvy you can submit an issue, or you can just send me an e-mail with TaxAss in the subject: robin.rohwer@gmail.com

Who made TaxAss?

The McMahon lab studies lake microbial ecology (and some of it also studies wastewater). We are at the Univerisity of Wisconsin-Madison.
Lab Website: https://mcmahonlab.wisc.edu/
Lab Twitter: @mcmahonlab
Robin Twitter: @RobinRohwer