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Content provider
- European Bioinformatics Institute (EBI)7
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Keyword
- Gene expression (gene-expression)5
- Expression Atlas4
- ArrayExpress Archive of Functional Genomics Data3
- Advances in spatial omics1
- DNA & RNA (dna-rna)1
- Data integration1
- Ensembl1
- Gene regulation1
- Introduction to single cell expression atlas1
- Life cell by cell1
- SCEA1
- Single Cell Expression Atlas1
- Single cell RNA-seq1
- Spatial transcriptomics1
- single-cells1
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Scientific topic
- Bioinformatics49
- Genome annotation34
- Exomes30
- Genomes30
- Genomics30
- Personal genomics30
- Synthetic genomics30
- Viral genomics30
- Whole genomes30
- Protein function analysis28
- Protein function prediction28
- Active learning26
- Ensembl learning26
- Kernel methods26
- Knowledge representation26
- Machine learning26
- Neural networks26
- Protein bioinformatics26
- Protein databases26
- Protein informatics26
- Proteins26
- Recommender system26
- Reinforcement learning26
- Supervised learning26
- Unsupervised learning26
- Biomathematics23
- Computational biology23
- Mathematical biology23
- Theoretical biology23
- Biological modelling22
- Biological system modelling22
- Protein structure22
- Systems biology22
- Systems modelling22
- RNA-Seq analysis21
- Comparative transcriptomics20
- Function analysis20
- Functional analysis20
- Protein structures20
- Transcriptome20
- Transcriptomics20
- Molecular diagnostics18
- Personalised medicine18
- Precision medicine18
- Data archival16
- Data archiving16
- Data curation16
- Data curation and archival16
- Data management16
- Data preservation16
- Database curation16
- Metabolic network modelling16
- Metabolic network reconstruction16
- Metabolic network simulation16
- Metabolic pathway modelling16
- Metabolic pathway reconstruction16
- Metabolic pathway simulation16
- Metabolic reconstruction16
- Metadata management16
- Research data archiving16
- Research data management (RDM)16
- Structural assignment16
- Structural biology16
- Structural determination16
- Structure determination16
- Amino acid sequence15
- Amino acid sequences15
- Bioimaging15
- Biological imaging15
- Biological models15
- Biological networks15
- Biological pathways15
- Cellular process pathways15
- Disease pathways15
- Environmental information processing pathways15
- Gene regulatory networks15
- Genetic information processing pathways15
- Interactions15
- Interactome15
- Metabolic pathways15
- Metagenomics15
- Molecular interactions15
- Molecular interactions, pathways and networks15
- Networks15
- Omics15
- Pathways15
- Protein sequence15
- Protein sequences15
- Shotgun metagenomics15
- Signal transduction pathways15
- Signaling pathways15
- Antimicrobial stewardship14
- Chromosome walking14
- Clone verification14
- Community analysis14
- DNA-Seq14
- DNase-Seq14
- Data visualisation14
- Environmental microbiology14
- High throughput sequencing14
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Event type
- Workshops and courses7
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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 aimed at life science researchers needing to learn more about the basic processing of raw RNA-Seq data and downstream analysis. It will help those wanting to learn how to interpret gene expression data and explore results of biological significance from processed data. Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction Regardless of your current knowledge we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area.1
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