Update netwas.rst

docs/netwas.rst

@@ -19,6 +19,38 @@ NetWAS requires as input a GWAS result file, with per-gene p-values. We suggest
 * `FORGE <https://github.com/inti/FORGE>`_: multivariate calculation of gene-wide p-values from Genome-Wide Association Studies Authors and Affiliations
 * `PLINK/SEQ <https://atgu.mgh.harvard.edu/plinkseq/index.shtml>`_: a library for the analysis of genetic variation data
 
+
+NetWAS Results
+---------------------------------------
+When a NetWAS analysis finishes, a result file will be emailed to the provided address and/or can be accessed at a given URL. An example file is show below: ::
+
+ ##################################################################################
+ # HumanBase NetWAS Analysis Results
+ #
+ # Job id:      d81a3872-3de8-4c83-a28c-ea4267f72870
+ # Job title:   
+ # Email:       aaronkw@gmail.com
+ # Created:     2017-08-18 17:26:48 EDT
+ # GWAS file:   bmi-2012.out.txt
+ # GWAS format: vegas
+ # Tissue:      adipose_tissue
+ # P-value:     0.01
+ #
+ # NetWAS citation:
+ # Greene CS*, Krishnan A*, Wong AK*, Ricciotti E, Zelaya RA, Himmelstein DS, Zhang
+ # R, Hartmann BM, Zaslavsky E, Sealfon SC, Chasman DI, FitzGerald GA, Dolinski K,
+ # Grosser T, Troyanskaya OG. (2015). Understanding multicellular function and
+ # disease with human tissue-specific networks. Nature Genetics. 10.1038/ng.3259w.
+ ##################################################################################
+ KRT6B	-1	0.561327
+ EMP1	-1	0.541169
+ ZBTB41	-1	0.503238
+ PNPLA8	-1	0.454396
+ ITGB4	-1	0.440985
+ ........
+
+
+
 Examples
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