{"id":4205,"date":"2015-02-27T18:27:19","date_gmt":"2015-02-27T23:27:19","guid":{"rendered":"http:\/\/labrigger.com\/blog\/?p=4205"},"modified":"2015-02-27T18:27:19","modified_gmt":"2015-02-27T23:27:19","slug":"remote-web-based-analysis","status":"publish","type":"post","link":"http:\/\/labrigger.com\/blog\/2015\/02\/27\/remote-web-based-analysis\/","title":{"rendered":"Remote, web-based analysis"},"content":{"rendered":"<p align=\"center\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/labrigger.com\/blog\/wp-content\/uploads\/2015\/02\/l2.png\" alt=\"l2\" width=\"600\" height=\"897\" \/><\/p>\n<p><a href=\"http:\/\/www.janelia.org\/lab\/freeman-lab\">Jeremy Freeman<\/a> and his lab are developing tools for analyzing data using a workflow that is fundamentally more scalable not only in terms of computing power and data set size, but also in collaboration and sharing. The one-person, one-machine approach to data analysis can be highly efficient, but collaboration and scaling up computational power can be needlessly time consuming and complicated. Doing everything through a web browser and using scalable cluster computing provides much more headroom. <a href=\"http:\/\/thefreemanlab.com\/thunder\/\">Thunder<\/a> and <a href=\"http:\/\/lightning-viz.org\/\">Lightning<\/a> provide open source tools for getting started with this approach.<\/p>\n<p align=\"center\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/labrigger.com\/blog\/wp-content\/uploads\/2015\/02\/t2.png\" alt=\"t2\" width=\"500\" height=\"632\"  \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p align=\"center\">\n<p><a href=\"http:\/\/www.janelia.org\/lab\/freeman-lab\">Jeremy Freeman<\/a> and his lab are developing tools for analyzing data using a workflow that is fundamentally more scalable not only in terms of computing power and data set size, but also in collaboration and sharing. The one-person, one-machine approach to data analysis can be highly&#8230;<\/p>\n<div class=\"read-more\"><a href=\"http:\/\/labrigger.com\/blog\/2015\/02\/27\/remote-web-based-analysis\/\">Read More<\/a><\/div><\/p>\n","protected":false},"author":1,"featured_media":4207,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[25,29,30],"class_list":["post-4205","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-software","tag-analysis","tag-collaboration","tag-computing"],"_links":{"self":[{"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/posts\/4205","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/comments?post=4205"}],"version-history":[{"count":6,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/posts\/4205\/revisions"}],"predecessor-version":[{"id":4216,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/posts\/4205\/revisions\/4216"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/media\/4207"}],"wp:attachment":[{"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/media?parent=4205"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/categories?post=4205"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/tags?post=4205"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}