{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T12:20:08Z","timestamp":1767961208908,"version":"3.49.0"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":3244,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/2.0\/uk\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Alternative splicing has the potential to generate a wide range of protein isoforms. For many computational applications and for experimental research, it is important to be able to concentrate on the isoform that retains the core biological function. For many genes this is far from clear.<\/jats:p>\n               <jats:p>Results: We have combined five methods into a pipeline that allows us to detect the principal variant for a gene. Most of the methods were based on conservation between species, at the level of both gene and protein. The five methods used were the conservation of exonic structure, the detection of non-neutral evolution, the conservation of functional residues, the existence of a known protein structure and the abundance of vertebrate orthologues. The pipeline was able to determine a principal isoform for 83% of a set of well-annotated genes with multiple variants.<\/jats:p>\n               <jats:p>Contact: \u00a0mtress@cnio.es<\/jats:p>\n               <jats:p>Supplementary information: Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btm547","type":"journal-article","created":{"date-parts":[[2007,11,16]],"date-time":"2007-11-16T01:43:16Z","timestamp":1195177396000},"page":"11-17","source":"Crossref","is-referenced-by-count":22,"title":["Determination and validation of principal gene products"],"prefix":"10.1093","volume":"24","author":[{"given":"Michael L.","family":"Tress","sequence":"first","affiliation":[{"name":"1 Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, Madrid, Spain 2HAVANA Group, The Sanger Institute, 3The European Bioinformatics Institute, Cambridge and 4Faculty of Life Sciences, University of Manchester, Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan-Jaap","family":"Wesselink","sequence":"additional","affiliation":[{"name":"1 Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, Madrid, Spain 2HAVANA Group, The Sanger Institute, 3The European Bioinformatics Institute, Cambridge and 4Faculty of Life Sciences, University of Manchester, Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam","family":"Frankish","sequence":"additional","affiliation":[{"name":"1 Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, Madrid, Spain 2HAVANA Group, The Sanger Institute, 3The European Bioinformatics Institute, Cambridge and 4Faculty of Life Sciences, University of Manchester, Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gonzalo","family":"L\u00f3pez","sequence":"additional","affiliation":[{"name":"1 Structural Biology and Biocomputing 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