scinote-web/app/assets/templates/experiment_423/experiment.json

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2019-02-11 21:02:49 +08:00
{"experiment":{"id":423,"name":"Antibody Purification","description":"Antibody purification involves selective enrichment or specific isolation of antibodies from serum, ascites fluid or cell culture supernatant of a hybridoma cell line. Purification methods range from very crude to highly specific.\r\nOnce they are purified (and possibly after labelling them with an enzyme or fluorescent tag), these antibodies can be used directly to probe the specific antigen in Western blotting, ELISA and other applications.","project_id":223,"created_by_id":202,"last_modified_by_id":202,"archived":false,"archived_by_id":null,"archived_on":null,"restored_by_id":null,"restored_on":null,"created_at":"2018-11-08T10:28:48.389Z","updated_at":"2018-12-21T13:26:16.207Z","workflowimg_file_name":"wimg20181221-1-12rsihs.png","workflowimg_content_type":"image/png","workflowimg_file_size":1460,"workflowimg_updated_at":"2018-12-21T13:26:16.207Z","uuid":"c17074d8-0c58-40f4-8d62-6646a18dbc58"},"my_modules":[{"my_module":{"id":2373,"name":"Mass spectrometry","due_date":null,"description":null,"x":105,"y":0,"my_module_group_id":null,"created_at":"2018-12-19T09:02:54.555Z","updated_at":"2018-12-19T09:37:36.576Z","archived":true,"archived_on":"2018-12-19T09:37:36.000Z","created_by_id":202,"last_modified_by_id":202,"archived_by_id":202,"restored_by_id":null,"restored_on":null,"nr_of_assigned_samples":0,"workflow_order":-1,"experiment_id":423,"state":"uncompleted","completed_on":null,"electronic_signature_status":"unlocked","electronic_signature_status_locked_at":null},"outputs":[],"my_module_tags":[],"task_comments":[],"my_module_repository_rows":[],"user_my_modules":[],"protocols":[{"protocol":{"id":3879,"name":null,"authors":null,"description":null,"added_by_id":null,"my_module_id":2373,"team_id":1,"protocol_type":"unlinked","parent_id":null,"parent_updated_at":null,"archived_by_id":null,"archived_on":null,"restored_by_id":null,"restored_on":null,"created_at":"2018-12-19T09:02:54.593Z","updated_at":"2018-12-19T09:02:54.718Z","published_on":null,"nr_of_linked_children":0},"protocol_protocol_keywords":[],"steps":[{"step":{"id":5228,"name":"MS Data Analysis","description":"\u003c!DOCTYPE html PUBLIC \"-//W3C//DTD HTML 4.0 Transitional//EN\" \"http://www.w3.org/TR/REC-html40/loose.dtd\"\u003e\n\u003chtml\u003e\u003cbody\u003e\u003cp\u003eDifferences among search engines can include the scoring algorithm, whether it considers data quality, and whether it considers all fragment ion types or only a subset. Often, the best way to select an algorithm is to examine the details regarding data-format compatibility and necessary features, test it on a data set, and compare the results to what is expected. \u003cbr\u003e\u003cbr\u003e\u003c/p\u003e\u003c/body\u003e\u003c/html\u003e","position":2,"completed":false,"completed_on":null,"user_id":202,"created_at":"2018-12-19T09:02:54.604Z","updated_at":"2018-12-19T09:02:54.604Z","last_modified_by_id":null,"protocol_id":3879},"checklists":[],"step_comments":[],"step_assets":[],"assets":[],"step_tables":[{"id":535,"step_id":5228,"table_id":672}],"tables":[{"id":672,"created_at":"2018-12-19T09:02:54.619Z","updated_at":"2018-12-19T09:02:54.619Z","created_by_id":202,"last_modified_by_id":202,"name":"Commonly used algorithms","team_id":1,"contents":"eyJkYXRhIjpbWyJTZWFyY2ggYWxnb3JpdGhtIiwiQXZhaWxhYmlsaXR5Iiwi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\nImh0dHA6Ly93d3cud2F0ZXJzLmNvbSJdLFsiUGFyYWdvb