{"action":"created","issue":{"url":"https://api.github.com/repos/kdahlquist/GRNmap/issues/327","repository_url":"https://api.github.com/repos/kdahlquist/GRNmap","labels_url":"https://api.github.com/repos/kdahlquist/GRNmap/issues/327/labels{/name}","comments_url":"https://api.github.com/repos/kdahlquist/GRNmap/issues/327/comments","events_url":"https://api.github.com/repos/kdahlquist/GRNmap/issues/327/events","html_url":"https://github.com/kdahlquist/GRNmap/issues/327","id":208334153,"number":327,"title":"Finish generating 30 random networks based on db5 and run GRNmap on them","user":{"login":"kdahlquist","id":6463867,"avatar_url":"https://avatars2.githubusercontent.com/u/6463867?v=3","gravatar_id":"","url":"https://api.github.com/users/kdahlquist","html_url":"https://github.com/kdahlquist","followers_url":"https://api.github.com/users/kdahlquist/followers","following_url":"https://api.github.com/users/kdahlquist/following{/other_user}","gists_url":"https://api.github.com/users/kdahlquist/gists{/gist_id}","starred_url":"https://api.github.com/users/kdahlquist/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kdahlquist/subscriptions","organizations_url":"https://api.github.com/users/kdahlquist/orgs","repos_url":"https://api.github.com/users/kdahlquist/repos","events_url":"https://api.github.com/users/kdahlquist/events{/privacy}","received_events_url":"https://api.github.com/users/kdahlquist/received_events","type":"User","site_admin":false},"labels":[{"id":136368125,"url":"https://api.github.com/repos/kdahlquist/GRNmap/labels/data%20analysis","name":"data analysis","color":"d4c5f9","default":false},{"id":130673294,"url":"https://api.github.com/repos/kdahlquist/GRNmap/labels/priority%200.5","name":"priority 0.5","color":"fad8c7","default":false}],"state":"open","locked":false,"assignee":{"login":"Nwilli31","id":8742673,"avatar_url":"https://avatars3.githubusercontent.com/u/8742673?v=3","gravatar_id":"","url":"https://api.github.com/users/Nwilli31","html_url":"https://github.com/Nwilli31","followers_url":"https://api.github.com/users/Nwilli31/followers","following_url":"https://api.github.com/users/Nwilli31/following{/other_user}","gists_url":"https://api.github.com/users/Nwilli31/gists{/gist_id}","starred_url":"https://api.github.com/users/Nwilli31/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Nwilli31/subscriptions","organizations_url":"https://api.github.com/users/Nwilli31/orgs","repos_url":"https://api.github.com/users/Nwilli31/repos","events_url":"https://api.github.com/users/Nwilli31/events{/privacy}","received_events_url":"https://api.github.com/users/Nwilli31/received_events","type":"User","site_admin":false},"assignees":[{"login":"Nwilli31","id":8742673,"avatar_url":"https://avatars3.githubusercontent.com/u/8742673?v=3","gravatar_id":"","url":"https://api.github.com/users/Nwilli31","html_url":"https://github.com/Nwilli31","followers_url":"https://api.github.com/users/Nwilli31/followers","following_url":"https://api.github.com/users/Nwilli31/following{/other_user}","gists_url":"https://api.github.com/users/Nwilli31/gists{/gist_id}","starred_url":"https://api.github.com/users/Nwilli31/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Nwilli31/subscriptions","organizations_url":"https://api.github.com/users/Nwilli31/orgs","repos_url":"https://api.github.com/users/Nwilli31/repos","events_url":"https://api.github.com/users/Nwilli31/events{/privacy}","received_events_url":"https://api.github.com/users/Nwilli31/received_events","type":"User","site_admin":false}],"milestone":null,"comments":4,"created_at":"2017-02-17T04:39:19Z","updated_at":"2017-03-13T21:58:51Z","closed_at":null,"body":"@Nwilli31 has already generated 27 random networks based on db5; let's go ahead and round that up to 30.  They will all need to be run through GRNmap (and Gephi #325), but that is a background task while she works on issue #326.  Hold off on doing the GRNsight visualization on them until later because that is time-consuming and we will pick and choose which ones to look at."},"comment":{"url":"https://api.github.com/repos/kdahlquist/GRNmap/issues/comments/286256992","html_url":"https://github.com/kdahlquist/GRNmap/issues/327#issuecomment-286256992","issue_url":"https://api.github.com/repos/kdahlquist/GRNmap/issues/327","id":286256992,"user":{"login":"Nwilli31","id":8742673,"avatar_url":"https://avatars3.githubusercontent.com/u/8742673?v=3","gravatar_id":"","url":"https://api.github.com/users/Nwilli31","html_url":"https://github.com/Nwilli31","followers_url":"https://api.github.com/users/Nwilli31/followers","following_url":"https://api.github.com/users/Nwilli31/following{/other_user}","gists_url":"https://api.github.com/users/Nwilli31/gists{/gist_id}","starred_url":"https://api.github.com/users/Nwilli31/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Nwilli31/subscriptions","organizations_url":"https://api.github.com/users/Nwilli31/orgs","repos_url":"https://api.github.com/users/Nwilli31/repos","events_url":"https://api.github.com/users/Nwilli31/events{/privacy}","received_events_url":"https://api.github.com/users/Nwilli31/received_events","type":"User","site_admin":false},"created_at":"2017-03-13T21:58:51Z","updated_at":"2017-03-13T21:58:51Z","body":"All the random networks & their input and output workbooks can be found in the DahlquistLab Repository: https://github.com/kdahlquist/DahlquistLab/tree/master/data/bouldardii2_GRNmap_outputs/Random_network_intput_output.\r\n\r\nFurther, I have used Brandon's spreadsheet to generate the descriptive stats of the 7 networks of interest (db5, random 15, 16, 24 for lowest ratio, and random 7, 12, and 31 for highest ratio). This file can also be found in the DahlquistLab Repository: https://github.com/kdahlquist/DahlquistLab/blob/master/data/15-gene_networks_analysis/Regulatory-Relationships_Six-Networks_NEW_db5.xlsx"}}
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