{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:23:28Z","timestamp":1763457808781,"version":"3.37.3"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"18","license":[{"start":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T00:00:00Z","timestamp":1549411200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Israel Ministry of Science and Technology","award":["3-14297"],"award-info":[{"award-number":["3-14297"]}]},{"name":"Peter J. Cohn Professorial Chair"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>The use of stable isotope labeling is highly advantageous for structure elucidation in metabolomics studies. However, computational tools dealing with multiple-precursor-based labeling studies are still missing. Hence, we developed Miso, an R package providing automated and efficient data analysis workflow to detect the complete repertoire of labeled molecules from multiple-precursor-based labeling experiments.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The capability of Miso is demonstrated by the analysis of liquid chromatography-mass spectrometry data obtained from duckweed plants fed with one unlabeled and two differently labeled tyrosine (unlabeled tyrosine, tyrosine-2H4 and tyrosine-13C915N1). The resulting data matrix generated by Miso contains sets of unlabeled and labeled ions with their retention time, m\/z values and number of labeled atoms that can be directly utilized for database query and biological studies.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>Miso is publicly available on the CRAN repository (https:\/\/cran.r-project.org\/web\/packages\/Miso). A reproducible case study and a detailed tutorial are available from GitHub (https:\/\/github.com\/YonghuiDong\/Miso_example).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btz092","type":"journal-article","created":{"date-parts":[[2019,2,5]],"date-time":"2019-02-05T12:33:02Z","timestamp":1549369982000},"page":"3524-3526","source":"Crossref","is-referenced-by-count":13,"title":["Miso: an R package for multiple isotope labeling assisted metabolomics data analysis"],"prefix":"10.1093","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0534-3868","authenticated-orcid":false,"given":"Yonghui","family":"Dong","sequence":"first","affiliation":[{"name":"Department of Plant Sciences, Weizmann Institute of Science , Rehovot, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liron","family":"Feldberg","sequence":"additional","affiliation":[{"name":"Department of Analytical chemistry, Israel Institute for Biological Research , Ness Ziona, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asaph","family":"Aharoni","sequence":"additional","affiliation":[{"name":"Department of Plant Sciences, Weizmann Institute of Science , Rehovot, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2019,2,6]]},"reference":[{"key":"2023013108060713600_btz092-B1","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1021\/acs.analchem.5b03628","article-title":"geoRge: a computational tool to detect the presence of stable isotope labeling in LC\/MS-based untargeted metabolomics","volume":"88","author":"Capellades","year":"2016","journal-title":"Anal. 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