Renamed CorrelationPage.py to show_corr_results.py

Worked with correlation code; got to the code that
begins to do the actual correlations

Created a function "get_dataset_and_trait" in
the new file "helper_functions.py" because the
code initializing the dataset and trait objects
was repeated in multiple places
Pushed through a few errors in getting the correlation page running
Added a couple things to notes regarding installing mysql client
Added a bunch to notes and created new notes file specifically
related to installing a new instance of GN
Added a lot to the notes in the process of setting up on the
new server
Fixed a few bugs while trying to get the code running on the new server
Merge branch 'flask' of http://github.com/zsloan/genenetwork into flask
Added a bunch of things to notes
Changed fd to kw in search_results.py, commented out some lines
related to fd
Changed reference to 'dataset_name' in keywords to 'dataset' to get
page to work, but will change all references to the dataset name to
'dataset_name' in future to avoid confusion between the dataset name
and the actual dataset object
Merge branch 'flask' of https://github.com/zsloan/genenetwork into flask
Deleted nginx.conf from the other_conf directory not in wqflask
Merge branch 'flask' of http://github.com/zsloan/genenetwork into flask
Copied over nginx.conf from /etc/nginx
Added wqflask-nginx.conf
Small change to search_results.py to get search results page to work
Added changes to example.py and prep_data.py that lets nick's code read in
our data
Edited genofile_parser.py to go through all genofiles and convert
them to the format used by nick's code
Added code to marker_regression.py that creates the numpy arrays to
pass to Nick's code and changed the prep_data.py code to operate on
a list of phenotype values instead of a textfile with the values
delimited
Converted .geno files to json files and wrote code in marker_regression.py
that loads the json files, converts them into the relevant numpy arrays,
and passes them into Nick's code (which is returning results that may
or may not be correct, but is at least running)