6 materials found

Scientific topics: Sequencing 


DNA-Seq 1: Variant calling

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: Sequencing

DNA-Seq 1: Variant calling https://tess.elixir-europe.org/materials/dna-seq-1-variant-calling Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Sequencing
DNA-Seq 2: visualisation and quality assessment of variant calls

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: Sequencing

DNA-Seq 2: visualisation and quality assessment of variant calls https://tess.elixir-europe.org/materials/dna-seq-2-visualisation-and-quality-assessment-of-variant-calls Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Sequencing
NGS overview

This course covers: Sequencing technologies Applications Categories of analysis Sample preparation Potential services in NGS Appendix

Scientific topics: Sequencing, High-throughput sequencing

Keywords: bioinformatics, Australia

NGS overview https://tess.elixir-europe.org/materials/ngs-overview This course covers: Sequencing technologies Applications Categories of analysis Sample preparation Potential services in NGS Appendix Vicky Schneider Sequencing High-throughput sequencing bioinformatics, Australia Biologists
Sequencing Technologies

Course materials from the 2015 de novo course.

Scientific topics: Sequencing

Keywords: De Novo, Earlham Institute

Sequencing Technologies https://tess.elixir-europe.org/materials/sequencing-technologies Course materials from the 2015 de novo course. Sequencing De Novo, Earlham Institute
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 https://tess.elixir-europe.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
EBI: Next Generation Sequencing Practical Course

EBI: Next Generation Sequencing Practical Course from http://www.ebi.ac.uk/training/online/course/ebi-next-generation-sequencing-practical-course.

Scientific topics: Sequencing

Keywords: DNA RNA, Gene Expression

EBI: Next Generation Sequencing Practical Course https://tess.elixir-europe.org/materials/ebi-next-generation-sequencing-practical-course EBI: Next Generation Sequencing Practical Course from http://www.ebi.ac.uk/training/online/course/ebi-next-generation-sequencing-practical-course. Sequencing DNA RNA, Gene Expression 2016-06-14