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Content provider
- European Bioinformatics Institute (EBI)23
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Scientific topic
- Codon usage3
- DNA chips3
- DNA microarrays3
- Expression3
- Functional genomics3
- Gene expression3
- Gene expression profiling3
- Gene transcription3
- Gene translation3
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- Biological models1
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- Genetic information processing pathways1
- Interactions1
- Interactome1
- Metabolic pathways1
- Molecular interactions1
- Molecular interactions, pathways and networks1
- Networks1
- Pathways1
- Signal transduction pathways1
- Signaling pathways1
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Event type
- Workshops and courses4
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Venue
- University of California, Davis, Shields Library3
- Stanford University, Li and Ma Science Library2
- Town and Country Hotel, 500 Hotel Circle North2
- UC Denver, UC Denver2
- University of California, San Diego, UC San Diego2
- Grace Auditorium, Cold Spring Harbor Laboratory, Grace Auditorium1
- Jackson Labs, Jackson Labs1
- NC State University, James B. Hunt Jr. Library1
- New Orleans Ernest N. Morial Convention Center, 900 Convention Center Blvd1
- New Orleans Ernest N. Morial Convention Center, New Orleans Ernest N. Morial Convention Center1
- Orange County Convention Center, Orange County Convention Center1
- Stanford University, Li and Ma Science Library, 376 Lomita Drive1
- The Chan Zuckerberg Biohub and Gladstone Institutes, California, The Chan Zuckerberg Biohub and Gladstone Institutes1
- UNC Chapel Hill, University of North Carolina at Chapel Hill1
- University of California, Berkeley, Koshland Hall1
- University of California, San Diego, Medical Education and Telemedicine Building, San Diego1
- University of Utah, University of Utah1
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Country
- United States of America
- United Kingdom466
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Target audience
- This workshop is aimed at wet-lab scientists and bioinformaticians. Participants should have degree-level understanding of molecular biology/genetics and be proficient at using web browsers.3
- This course is for researchers and clinicians at any career stage attending ENDO2019 who want to explore and use the EMBL-EBI IntAct and Reactome resources for their research, whether they are looking to build networks prior to omics data analysis, or to better understand the biology of their favourite gene(s) or protein(s). No knowledge of programming is required, but an undergraduate level knowledge of biology and/or biochemistry would be an advantage.1
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