about summary refs log tree commit diff
path: root/README.md
diff options
context:
space:
mode:
Diffstat (limited to 'README.md')
-rw-r--r--README.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/README.md b/README.md
index 399b39a..c54de0e 100644
--- a/README.md
+++ b/README.md
@@ -61,7 +61,7 @@ pyhegp --help
 # How to use
 ## Simple data sharing
 
-![Simple data sharing workflow](doc/simple-workflow.png)
+![Simple data sharing workflow](https://ci.systemreboot.net/archive/pyhegp-readme-images/latest/simple-workflow.png)
 
 In this simple scenario, there is only one data owner and they wish to share their encrypted data with a researcher. The data owner encrypts their genotype and phenotype data with:
 ```
@@ -71,17 +71,17 @@ They then send the encrypted `genotype.tsv.hegp` and `phenotype.tsv.hegp` to the
 
 ## Joint/federated analysis with many data owners
 
-![Joint/federated analysis workflow](doc/joint-workflow.png)
+![Joint/federated analysis workflow](https://ci.systemreboot.net/archive/pyhegp-readme-images/latest/joint-workflow.png)
 
 Data owners generate summary statistics for their data.
 ```
 pyhegp summary genotype.tsv -o summary
 ```
-They share this with the data broker who pools it to compute the summary statistics of the complete dataset.
+They share this with the data broker who pools it to compute the summary statistics of the complete dataset. Any SNPs not common to all summaries will be dropped.
 ```
 pyhegp pool -o complete-summary summary1 summary2 ...
 ```
-The data broker shares these summary statistics with the data owners. The data owners standardize their data using these summary statistics, and encrypt their genotype and phenotype data using a random key.
+The data broker shares these summary statistics with the data owners. The data owners standardize their data using these summary statistics, and encrypt their genotype and phenotype data using a random key. Any SNPs not in `complete-summary` or have a zero standard deviation are dropped. SNPs with a zero standard deviation have no discriminatory power in the analysis.
 ```
 pyhegp encrypt -s complete-summary genotype.tsv phenotype.tsv
 ```