deletions | additions       diff --git a/Methods.md b/Methods.md  index f9f2731..56978a7 100644  --- a/Methods.md  +++ b/Methods.md 
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Insert description of DNA extraction, PCR, sequencing.  ##Bioinformatic Analysis  Demultiplex, QIIME, blah,blah, blah Unless otherwise noted, all microbial community analyses were conducted using the QIIME workflow version 1.8, and 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). The pick\_open\_reference\_otus.py script(CITATION OR LINK?)  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 sequences were identified using the identify\_chimeric\_seqs.py script and there were no singleton OTUs (probably should verify these things). 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  The sequences and associated metadata from 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 two projects are of different 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.