deletions | additions       diff --git a/Methods.md b/Methods.md  index b2cf0e9..d323dc8 100644  --- a/Methods.md  +++ b/Methods.md 
...
\cite{Caporaso_2012}.  ##Bioinformatic Analysis  Unless otherwise noted, all microbial community analyses were conducted using the QIIME workflow version 1.8 or R. R \cite{R}  All python scripts referred to are components of QIIME \cite{Caporaso_2010}. ###Demultiplex and QC.  An in-house script was used to assign sequences to samples, using dual-index barcoding. This script is available on github (https://github.com/gjospin/Demul_trim_prep)  ###OTU assignment and QC  The number of high-quality sequences per sample ranged from 26830 to 77845 (see Table X). 1).  The pick\_open\_reference\_otus.py script was used to cluster sequences at 97% similarity. Taxonomy was assigned to each cluster by comparing a representative sequence from each cluster to the gg\_13\_8\_otus reference taxonomy provided by the Greengenes Database Consortium (http://greengenes.secondgenome.com.) No chimeric Chimeric  sequences were identified using the identify\_chimeric\_seqs.py script and there were no singleton OTUs (probably should verify these things). script.  All subsequent beta diversity analyses (comparisons across samples) were performed with all samples rarefied to 26830 sequences. ###Comparison of ISS surfaces to analogous surfaces in homes on Earth and human belly buttons  The sequences and associated metadata from a 40-home pilot study for the Wildlife of Our Homes Project are available for download from Figshare \cite{885e3742-e0c3-4719-a6a8-dba9930a33ca}. These were used in a combined analysis with the ISS sequences presented here. Because the sequences from the three projects are not all the same lengths, each dataset was independently analyzed using a closed-reference OTU-picking approach, and the resultant biom tables were merged with the merge\_otu\_tables.py script.