{"action":"opened","issue":{"url":"https://api.github.com/repos/alexandrovteam/Optimus/issues/3","repository_url":"https://api.github.com/repos/alexandrovteam/Optimus","labels_url":"https://api.github.com/repos/alexandrovteam/Optimus/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/alexandrovteam/Optimus/issues/3/comments","events_url":"https://api.github.com/repos/alexandrovteam/Optimus/issues/3/events","html_url":"https://github.com/alexandrovteam/Optimus/issues/3","id":195691544,"number":3,"title":"Some ideas from Dorrestein Lab","user":{"login":"lfnothias","id":22830047,"avatar_url":"https://avatars.githubusercontent.com/u/22830047?v=3","gravatar_id":"","url":"https://api.github.com/users/lfnothias","html_url":"https://github.com/lfnothias","followers_url":"https://api.github.com/users/lfnothias/followers","following_url":"https://api.github.com/users/lfnothias/following{/other_user}","gists_url":"https://api.github.com/users/lfnothias/gists{/gist_id}","starred_url":"https://api.github.com/users/lfnothias/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lfnothias/subscriptions","organizations_url":"https://api.github.com/users/lfnothias/orgs","repos_url":"https://api.github.com/users/lfnothias/repos","events_url":"https://api.github.com/users/lfnothias/events{/privacy}","received_events_url":"https://api.github.com/users/lfnothias/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-12-15T01:19:29Z","updated_at":"2016-12-15T01:19:29Z","closed_at":null,"body":"Hi Ivan,\r\n\r\nWe were having an Optimus training today, and here few comments/idea that came up with the group:\r\n- It would very convenient to have the BLANK field in the experimental design, automatically populated by the group mapping file. \r\n- Regarding the feature_quantification_matrix.csv, it would be needed have the corresponding standard deviation for FTIC, FMEAN, FMEDIAN to have a comprehensive statistical insight.\r\n- Also, an interesting idea is to keep only features which have at least two isotopic pattern peaks.\r\n- Moreover, regarding the awesome retention time cut-off feature, would it not be more efficient to have this implemented in the node \"Detect LC-MS features\" ?\r\n\r\nLF"}}
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