bioRxiv preprint doi: https://doi.org/10.1101/176024; this version posted August 18, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Integrative analysis of large scale transcriptome data draws a comprehensive functional 2 landscape of Phaeodactylum tricornutum genome and evolutionary origin of diatoms 3 4 Achal Rastogi1, Uma Maheswari2, Richard G. Dorrell1, Florian Maumus3, Fabio Rocha Jimenez 5 Vieira1, Adam Kustka4, James McCarthy5, Andy E. Allen5, 6, Paul Kersey2, Chris Bowler1* and 6 Leila Tirichine1* 7 8 9 1Ecole Normale Supérieure, PSL Research University, Institut de Biologie de l’Ecole Normale 10 Supérieure (IBENS), CNRS UMR 8197, INSERM U1024, 46 rue d’Ulm, F-75005 Paris, France 11 2EMBL-EBI, Wellcome Trust Genome Campus, Cambridge, CB10 1SD, United Kingdom 12 3INRA, UR1164 URGI—Research Unit in Genomics-Info, INRA de Versailles-Grignon, Route de 13 Saint-Cyr, Versailles 78026, France 14 4Earth and Environmental Sciences, Rutgers University, 101 Warren Street, 07102 Newark, 15 New Jersey, USA 16 5J. Craig Venter Institute, 10355 Science Center Drive, 92121 San Diego, California, USA 17 6Integrative Oceanography Division, Scripps Institution of Oceanography, University of 18 California San Diego, La Jolla, California, USA 19 20 * Authors for correspondence;
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