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Content provider
- European Bioinformatics Institute (EBI)1
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Scientific topic
- Codon usage
- Chromosome walking3
- Clone verification3
- DNA-Seq3
- DNase-Seq3
- Exomes3
- Genome annotation3
- Genomes3
- Genomics3
- High throughput sequencing3
- High-throughput sequencing3
- NGS3
- NGS data analysis3
- Next gen sequencing3
- Next generation sequencing3
- Panels3
- Personal genomics3
- Primer walking3
- Sanger sequencing3
- Sequencing3
- Synthetic genomics3
- Targeted next-generation sequencing panels3
- Viral genomics3
- Whole genomes3
- Biological sequences2
- Functional genomics2
- Metagenomics2
- Sequence analysis2
- Sequence databases2
- Shotgun metagenomics2
- nucleotide2
- Comparative transcriptomics1
- DNA chips1
- DNA microarrays1
- Data archival1
- Data archiving1
- Data curation1
- Data curation and archival1
- Data management1
- Data preservation1
- Database curation1
- Database hits (sequence)1
- Expression1
- Function analysis1
- Functional analysis1
- Gene annotation format1
- Gene expression1
- Gene expression profiling1
- Gene features format1
- Gene functional annotation1
- Gene transcription1
- Gene translation1
- Metadata management1
- Metagenomic sequencing1
- Nucleic acid sequence alignment analysis1
- Nucleic acid sequence analysis1
- Protein function analysis1
- Protein function prediction1
- Research data archiving1
- Research data management (RDM)1
- Sequence alignment analysis (nucleic acid)1
- Sequence alignment metadata1
- Sequence alignment report1
- Sequence analysis (nucleic acid)1
- Sequence database hits1
- Sequence database search results1
- Sequence functional annotation1
- Sequence search hits1
- Sequence search results1
- Shotgun metagenomic sequencing1
- Transcription1
- Transcriptome1
- Transcriptomics1
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Event type
- Workshops and courses1
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Country
- United Kingdom1
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Target audience
- 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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