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Content provider
- European Bioinformatics Institute (EBI)8
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Keyword
- Expression Atlas
- Gene expression (gene-expression)8
- ArrayExpress Archive of Functional Genomics Data5
- DNA & RNA (dna-rna)2
- Ensembl2
- Reactome pathways database2
- Chemical Entities of Biological Interest1
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- Differential expression1
- Droplet-based single-cell RNA library preparation1
- Galaxy1
- Gene expression1
- IntAct Molecular Interaction Database1
- Introductory1
- MetaboLights: Metabolomics repository and reference database1
- Protein Data Bank in Europe1
- Proteins (proteins)1
- RNAcentral1
- Single cell1
- Structures (structures)1
- Systems (systems)1
- UniProt: The Universal Protein Resource1
- genes1
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Scientific topic
- Functional genomics4
- Codon usage3
- DNA chips3
- DNA microarrays3
- Expression3
- Gene expression3
- Gene expression profiling3
- Gene transcription3
- Gene translation3
- Transcription3
- Bioinformatics1
- Biological models1
- Biological networks1
- Biological pathways1
- Cellular process pathways1
- Comparative transcriptomics1
- Disease pathways1
- Environmental information processing pathways1
- Exomes1
- Exometabolomics1
- Expression analysis1
- Expression data1
- Expression data analysis1
- Gene Expression Atlas Experiment ID1
- Gene expression analysis1
- Gene expression data1
- Gene expression data analysis1
- Gene expression profile1
- Gene expression regulation analysis1
- Gene product profile1
- Gene product quantification data1
- Gene regulatory networks1
- Gene transcription profile1
- Gene transcription quantification data1
- Genetic information processing pathways1
- Genome annotation1
- Genomes1
- Genomics1
- Interactions1
- Interactome1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based untargeted metabolomics1
- Mass spectrometry-based metabolomics1
- Metabolic pathways1
- Metabolite expression data1
- Metabolites1
- Metabolome1
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- Metabonomics1
- Metagenomic inference1
- MicroRNA sequencing1
- Microarray data1
- Microarray data analysis1
- Molecular interactions1
- Molecular interactions, pathways and networks1
- NMR-based metabolomics1
- Networks1
- Non-coding RNA profile1
- Non-coding RNA quantification data1
- Pathways1
- Personal genomics1
- Pipelines1
- Protein bioinformatics1
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- Protein expression analysis1
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- RNA profile1
- RNA quantification data1
- RNA sequencing1
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- RNA-seq data1
- Signal transduction pathways1
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- Software integration1
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- Transcriptome1
- Transcriptome profile1
- Transcriptome profiling1
- Transcriptome quantification data1
- Transcriptomics1
- Viral genomics1
- WTSS1
- Whole genomes1
- Whole transcriptome shotgun sequencing1
- Workflows1
- mRNA profile1
- mRNA quantification data1
- miRNA-seq1
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Event type
- Workshops and courses8
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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 wanting to learn more about processing RNA-seq data and later downstream analysis. It will help those wanting a basic introduction to handling RNA-seq data, guiding them through several common approaches that can be applied to their own datasets. It features taught and practical sessions that cover how to interpret gene expression data and learn more about the biological significance of certain results. 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
- This workshop is aimed at PhD students within the PhD programme "Genetics, Molecular and Cellular Biology" (University of Pavia) and the PhD programmme "Biomolecular Sciences and Biotechnology" (IUSS, University School for Advanced Studies Pavia. No knowledge of programming is required, but an undergraduate level knowledge of biology or molecular biology would be useful.1
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Instructor
- Nancy George
- Wendi Bacon3
- Zhichao Miao3
- Anja Fullgrabe2
- Irene Papatheodorou2
- Jonathan Manning2
- Kerstin Meyer2
- Kristina Kirschner2
- Mehmet Tekman2
- Pablo Moreno2
- Silvie Fexova2
- Simone Webb2
- Tamir Chandra2
- Thawfeek Varusai2
- Adnan Malik1
- Aleena Mushtaq1
- Andrew Hercules1
- Andrew Stubbs1
- Anil Shantilal Thanki1
- Anton Petrov1
- Benjamin Moore1
- Birgit Meldal1
- Blake Sweeney1
- Bruno Contreras-Moreira1
- Carla Valeria Filippi1
- Carlos Garcia Giron1
- Chandra Chilamakuri1
- David Armstrong1
- Deborah Harrus1
- Diana Lopez1
- Emily Perry1
- Graeme Tyson1
- Iguaracy Pinheiro de Sousa1
- Iris Diana Yu1
- Jamie Allen1
- Jon Manning1
- Julia Jakiela1
- Kalpana Paneerselvam1
- Keeva Cochrane1
- Kostas Billis1
- Leanne Haggerty1
- Liis Kolberg1
- Louisse Paola Mirabueno1
- Manuel Humberto Reyes-Valdes1
- Marco Cristancho1
- Marisa Loach1
- Octavio Martinez de la Vega1
- Rossana Zaru1
- Sarah Morgan1
- Scooter Morris1
- Simon Andrews1
- Tom Hancocks1
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