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Keyword
- HDRUK31
- Advances in spatial omics6
- Data integration5
- Spatial transcriptomics5
- Bioinformatics3
- ISCB3
- Transcriptomics3
- DNA & RNA (dna-rna)2
- Ensembl Genomes2
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- Molecular building blocks of life1
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- Single cell1
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- UniProt: The Universal Protein Resource1
- Zincfingernucleases1
- algorithms1
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- cell diversity1
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- cell-cell interaction1
- clinical genomics1
- clinical sequencing1
- disease research1
- dynamic simulations1
- eLearning1
- machine learning1
- mutational landscapes1
- plant-microbe interactions1
- single-cells1
- zincfingernuclease1
- • New developments in technology 1
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Scientific topic
- Transcriptomics
- Bioinformatics1026
- Genome annotation287
- Exomes284
- Genomes284
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- Viral genomics284
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- Biological modelling236
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- Biomedical research194
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- Bottom-up proteomics144
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- Peptide identification144
- Protein and peptide identification144
- Proteomics144
- Quantitative proteomics144
- Targeted proteomics144
- Top-down proteomics144
- Data visualisation133
- Data rendering126
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- Aerobiology89
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- Biology89
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- Comparative transcriptomics68
- Transcriptome68
- Exometabolomics67
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- MS-based untargeted metabolomics67
- Mass spectrometry-based metabolomics67
- Metabolites67
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- RNA-Seq analysis33
- Epigenomics31
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- Protein databases28
- Software integration28
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- Tool interoperability28
- Workflows28
- Chromosome walking27
- Clone verification27
- DNA-Seq27
- DNase-Seq27
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Venue
- Craik-Marshall Building31
- EMBL Heidelberg3
- European Bioinformatics Institute2
- European Bioinformatics Institute, Hinxton2
- Autonomous University of Barcelona1
- BluePoint Antwerpen, 9, Filip Williotstraat1
- Campus di Fisciano, Università degli Studi di Salerno, Via Giovanni Paolo II, n. 1321
- Dexter House1
- Faculty of Sciences, University of Porto, Rua do Campo Alegre 1021/10551
- KU Leuven - Promotion & Jubileumzaal, Naamsestraat 22, 22, Naamsestraat1
- La Pedrera, 92, Passeig de Gràcia1
- The Boston Park Plaza Hotel&Towers1
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Target audience
- Graduate students31
- Institutions and other external Institutions or individuals31
- Postdocs and Staff members from the University of Cambridge31
- The module is suitable for researchers interested in gene expression analysis and visualisation3
- Researchers2
- Computational biologists1
- Computer science1
- PhD students1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- Plant research1
- Postdoctoral students1
- This workshop is aimed at researchers who wish to use and submit functional genomics data. This workshop will not however cover the analysis of such data.1
- bioinformaticians1
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