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Scientific topics: Mass spectrometry  or RNA 

Fundamentals of peptide and protein mass spectrometry

Fundamentals of peptide and protein mass spectrometry by Steve Carr.

Scientific topics: Mass spectrometry, Proteomics

Keywords: Peptide, Protein Mass Spectrometry

Fundamentals of peptide and protein mass spectrometry http://tess.elixir-uk.org/materials/fundamentals-of-peptide-and-protein-mass-spectrometry Fundamentals of peptide and protein mass spectrometry by Steve Carr. Mass spectrometry Proteomics Peptide, Protein Mass Spectrometry
RNA-seq data analysis: from raw reads to differentially expressed genes

This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of...

Scientific topics: Sequencing, RNA, Data architecture, analysis and design, Bioinformatics

Keywords: Bioinformatics, Differential expression, Ngs, Rna seq

RNA-seq data analysis: from raw reads to differentially expressed genes http://tess.elixir-uk.org/materials/rna-seq-data-analysis-from-raw-reads-to-differentially-expressed-genes This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of 10-30 minute lectures intertwined with hands-on exercises, and it can be accomplished in a day. As the user-friendly Chipster software is used in the exercises, no prior knowledge of R/Bioconductor or Unix ir required, and the course is thus suitable for everybody. Our book RNA-seq data analysis: A practical approach (CRC Press) can be used as background reading. The following topics and analysis tools are covered: 1. Introduction to the Chipster analysis platform 2. Quality control of raw reads (FastQC, PRINSEQ) 3. Preprocessing (Trimmomatic, PRINSEQ) 4. Alignment to reference genome (TopHat2) 5. Alignment level quality control (RseQC) 6. Quantitation (HTSeq) 7. Experiment level quality control with PCA and MDS plots 8. Differential expression analysis (DESeq2, edgeR) -normalization -dispersion estimation -statistical testing -controlling for batch effects, multifactor designs -filtering -multiple testing correction 9. Visualization of reads and results -genome browser -Venn diagram -volcano plot -plotting normalized counts for a gene -expression profiles 10. Experimental design Sequencing RNA Data architecture, analysis and design Bioinformatics Bioinformatics, Differential expression, Ngs, Rna seq Bench biologists Life Science Researchers 2015-12-04 2017-10-09
RNA-seq Analysis 2014 Module 4 - Isoform discovery and alternative expression

Explore use of Cufflinks in reference annotation based transcript (RABT) assembly mode and ‘de novo’ assembly mode. Both modes require a reference genome sequence.  

Scientific topics: RNA

Keywords: Alternative expression, Transcript isoforms

RNA-seq Analysis 2014 Module 4 - Isoform discovery and alternative expression http://tess.elixir-uk.org/materials/rna-seq-analysis-2014-module-4-isoform-discovery-and-alternative-expression Explore use of Cufflinks in reference annotation based transcript (RABT) assembly mode and ‘de novo’ assembly mode. Both modes require a reference genome sequence.   RNA Alternative expression, Transcript isoforms Biologists, Genomicists, Computer Scientists Graduate Students Post-Doctoral Fellows Researchers 2014-06-27 2017-10-09