{"id":1107,"date":"2020-10-30T09:34:32","date_gmt":"2020-10-30T16:34:32","guid":{"rendered":"http:\/\/faculty.washington.edu\/libinxu\/?p=1107"},"modified":"2020-11-17T09:45:22","modified_gmt":"2020-11-17T17:45:22","slug":"our-paper-on-python-package-for-lipidomics-accepted-to-analytical-chemistry","status":"publish","type":"post","link":"https:\/\/faculty.washington.edu\/libinxu\/2020\/10\/30\/our-paper-on-python-package-for-lipidomics-accepted-to-analytical-chemistry\/","title":{"rendered":"Our paper on Python package for lipidomics accepted to Analytical Chemistry!"},"content":{"rendered":"\n<p>This all-in-one package, LiPydomics, contains a large experimental and predicted database of CCS and HILIC retention time, allows data processing, lipid identification with multi-dimensional data, statistical analysis, plotting, and comes with a text-based interface. The database is also available at CCSbase.net. Check out the <a rel=\"noreferrer noopener\" aria-label=\"paper here (opens in a new tab)\" href=\"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.analchem.0c02560\" target=\"_blank\">paper here<\/a>.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img loading=\"lazy\" src=\"https:\/\/faculty.washington.edu\/libinxu\/wordpress\/wp-content\/uploads\/2020\/11\/Lipydomics2020.jpg\" alt=\"\" class=\"wp-image-1105\" width=\"375\" height=\"142\" srcset=\"https:\/\/faculty.washington.edu\/libinxu\/wordpress\/wp-content\/uploads\/2020\/11\/Lipydomics2020.jpg 975w, https:\/\/faculty.washington.edu\/libinxu\/wordpress\/wp-content\/uploads\/2020\/11\/Lipydomics2020-300x114.jpg 300w, https:\/\/faculty.washington.edu\/libinxu\/wordpress\/wp-content\/uploads\/2020\/11\/Lipydomics2020-768x292.jpg 768w, https:\/\/faculty.washington.edu\/libinxu\/wordpress\/wp-content\/uploads\/2020\/11\/Lipydomics2020-624x237.jpg 624w\" sizes=\"(max-width: 375px) 100vw, 375px\" \/><\/figure><\/div>\n","protected":false},"excerpt":{"rendered":"<p>This all-in-one package, LiPydomics, contains a large experimental and predicted database of CCS and HILIC retention time, allows data processing, lipid identification with multi-dimensional data, statistical analysis, plotting, and comes with a text-based interface. The database is also available at CCSbase.net. Check out the paper here.<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[5],"tags":[],"_links":{"self":[{"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/posts\/1107"}],"collection":[{"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/comments?post=1107"}],"version-history":[{"count":1,"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/posts\/1107\/revisions"}],"predecessor-version":[{"id":1108,"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/posts\/1107\/revisions\/1108"}],"wp:attachment":[{"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/media?parent=1107"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/categories?post=1107"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/faculty.washington.edu\/libinxu\/wp-json\/wp\/v2\/tags?post=1107"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}