- Title
- Digital expression profiling of novel diatom transcripts provides insight into their biological functions
- Creators - without role
- Uma Maheswari - European Bioinformatics InstituteKamel Jabbari - GenoscopeJean-Louis Petit - GenoscopeBetina M Porcel - GenoscopeAndrew E Allen - J. Craig Venter InstituteJean-Paul Cadoret - Physiology and Biotechnology of Algae laboratoryAlessandra De Martino - Institut de Biologie de l'École Normale SupérieureMarc Heijde - Institut de Biologie de l'École Normale SupérieureRaymond Kaas - Physiology and Biotechnology of Algae laboratoryJulie La Roche - University of East AngliaPascal J Lopez - Institut de Biologie de l'École Normale SupérieureVéronique Martin-Jézéquel - Nantes UniversitéAgnès Meichenin - Institut de Biologie de l'École Normale SupérieureThomas Mock - University of East AngliaMicaela Schnitzler Parker - University of East AngliaAssaf Vardi - Weizmann Institute of ScienceE Virginia Armbrust - University of WashingtonJean Weissenbach - GenoscopeMichaël Katinka - GenoscopeChris Bowler - Institut de Biologie de l'École Normale Supérieure
- Publication Details
- GenomeBiology.com, Vol.11(8), pp.R85-R85
- Publisher
- BioMed Central
- Identifiers
- 9942152708331
- Academic Unit
- King Abdullah University of Science & Technology
- Language
- English
- Resource Type
- Journal article
Journal article
Digital expression profiling of novel diatom transcripts provides insight into their biological functions
GenomeBiology.com, Vol.11(8), pp.R85-R85
01/01/2010
PMCID: PMC2945787
PMID: 20738856
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