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- European Bioinformatics Institute (EBI)10
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Keyword
- Expression Atlas5
- Gene expression (gene-expression)5
- ArrayExpress Archive of Functional Genomics Data2
- Ensembl2
- Reactome pathways database2
- Chemical Entities of Biological Interest1
- Chemical biology (chemical-biology)1
- Complex Portal1
- DNA & RNA (dna-rna)1
- 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
- MicroRNA sequencing2
- RNA sequencing2
- RNA-Seq2
- RNA-Seq analysis2
- Small RNA sequencing2
- Small RNA-Seq2
- Small-Seq2
- Transcriptome profiling2
- WTSS2
- Whole transcriptome shotgun sequencing2
- miRNA-seq2
- 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
- Functional genomics1
- 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
- Metabolomics1
- Metabonomics1
- Metagenomic inference1
- 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
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- Protein bioinformatics1
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- Protein expression data1
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- RNA profile1
- RNA quantification data1
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- Signal transduction pathways1
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- Software integration1
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- Tool interoperability1
- Transcriptome1
- Transcriptome profile1
- Transcriptome quantification data1
- Transcriptomics1
- Viral genomics1
- Whole genomes1
- Workflows1
- mRNA profile1
- mRNA quantification data1
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Event type
- Workshops and courses10
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Country
- United Kingdom2
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Target audience
- 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 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 course is aimed at researchers who are generating, planning on generating, or working with single cell RNA sequencing data. Prerequisites Participants will be using a Galaxy resource in-depth. Participants may also be asked to do brief coding in R. Please ensure that you complete the free tutorials before you attend the course: Introduction to Galaxy: https://galaxyproject.org/tutorials/g101/ Basic R concept tutorials: www.r-tutor.com/r-introduction There are other tutorials here, although they are not required: https://galaxyproject.org/learn/1
- This course is aimed at wet-lab researchers who are generating, planning on generating, or working with single cell RNA sequencing data. Prerequisites 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-introduction1
- 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
- This workshop is for a cohort of early-stage researchers working on the EU-funded NEUcrest Innovative Training Network.1
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Instructor
- Nancy George
- Wandrille Duchemin32
- Janick Mathys31
- Aleena Mushtaq27
- Geert van Geest15
- Michal Szpak15
- Robin Engler15
- Benjamin Moore12
- Emily Perry12
- Tania Wyss Lozano12
- True Colours12
- Wendi Bacon11
- Gustavo Ruiz Buendia10
- Birgit Meldal9
- Kalpana Panneerselvam9
- Thuong Van Du Tran9
- Typhaine Paysan-Lafosse9
- Agnes Uhereczky8
- Anna Swan8
- David Armstrong8
- Dayane Rodrigues Araujo8
- Louisse Paola Mirabueno8
- Alexandra Holinski7
- Baron Koylass7
- Emily Bowler-Barnett7
- Alexandre Bonvin6
- Andrew Hercules6
- Bruna Piereck6
- David Wishart6
- Markus Müller6
- Nandana Madhusoodanan6
- Rahuman Sheriff6
- Rossana Zaru6
- Sam Holt6
- Sarah Morgan6
- Ugis Sarkans6
- Eliot Ragueneau5
- Gerard Kleywegt5
- Guillaume Bourque5
- James Collier5
- Lauren Erdman5
- Mathieu Bourgey5
- Melissa Davies5
- Osman Salih5
- Paul Denny5
- Pedro Raposo5
- Thawfeek Varusai5
- Tom Hancocks5
- William Hsiao5
- Ajay Mishra4
- Alex Bateman4
- Alexander Botzki4
- Alexey Larionov4
- Björn Grüning4
- Bérénice Batut4
- Daniela Brites4
- Deepak Tanwar4
- Dona Shaju4
- Elisabeth Gasteiger4
- Fabio Madeira4
- Finlay Maguire4
- Fiona Brinkman4
- Frédéric Bastian4
- James Stephenson4
- Jared Simpson4
- Johannes Griss4
- Jonathan Manning4
- Lee Larcombe4
- Lorna Richardson4
- Maira Ihsan4
- Marc Robinson-Rechavi4
- Matheus Lourenço4
- Nate Coraor4
- Patricia Carvajal Lopez4
- Philippe Le Mercier4
- Piv Gopalasingam4
- Rafael Riudavets Puig4
- Sara Rocio Chuguransky4
- Teresa Müller4
- Tobias Rausch4
- Varsha Kale4
- Veronique Voisin4
- Yvonne Lussi4
- Ahmed Hamid Awan3
- Alexey Sokolov3
- Amy LeBlanc3
- Andrew McArthur3
- Anna Syme3
- Anthony Bretaudeau3
- Antonin Thiebaut3
- Anup Kumar3
- Attilio Vittorio Vargiu3
- Aurelien Dugourd3
- Chris Quince3
- Christoph Stritt3
- Clea Siguret3
- Daniela Schneider3
- Dannon Baker3
- David Bujold3
- Deborah Harrus3
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