{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T14:41:38Z","timestamp":1775918498919,"version":"3.50.1"},"reference-count":14,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2025,5,10]],"date-time":"2025-05-10T00:00:00Z","timestamp":1746835200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01DK081572"],"award-info":[{"award-number":["R01DK081572"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U2CDK129670"],"award-info":[{"award-number":["U2CDK129670"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U24DK112340"],"award-info":[{"award-number":["U24DK112340"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>Nontargeted LC-MS (liquid chromatography\u2013tandem mass spectrometry) metabolomics datasets contain a wealth of information but present many challenges during analysis and processing. Often, two or more independently processed datasets must be aligned to form a complete dataset, but existing software does not fully meet our needs. For this, we have created an open-source Python package called Eclipse. Eclipse uses a novel graph-based approach to handle complex matching scenarios that arise from n\u2009&amp;gt;\u20092 datasets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>Eclipse is open source (https:\/\/github.com\/broadinstitute\/bmxp) and can be installed via \u201cpip install bmxp.\u201d<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaf290","type":"journal-article","created":{"date-parts":[[2025,5,10]],"date-time":"2025-05-10T12:24:02Z","timestamp":1746879842000},"source":"Crossref","is-referenced-by-count":3,"title":["<i>Eclipse<\/i>\n                    : a Python package for alignment of two or more nontargeted LC-MS metabolomics datasets"],"prefix":"10.1093","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2961-3444","authenticated-orcid":false,"given":"Daniel 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Cambridge, MA 02142,","place":["United States"]}]},{"given":"Julian R","family":"Avila-Pacheco","sequence":"additional","affiliation":[{"name":"Metabolomics Platform, Broad Institute of MIT and Harvard , Cambridge, MA 02142,","place":["United States"]}]},{"given":"Clary B","family":"Clish","sequence":"additional","affiliation":[{"name":"Metabolomics Platform, Broad Institute of MIT and Harvard , Cambridge, MA 02142,","place":["United States"]}]}],"member":"286","published-online":{"date-parts":[[2025,5,10]]},"reference":[{"key":"2025070408271252000_btaf290-B1","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1007\/s11306-016-1124-4","article-title":"Large-scale untargeted LC-MS metabolomics data correction using between-batch feature alignment and cluster-based within-batch signal intensity drift 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