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17 materials found

Keywords: Experimental-design  or RNA-seq 


RNA - Seq de novo

Practical session on transciptome de novo assembly

Keywords: RNA-seq

RNA - Seq de novo https://tess.elixir-europe.org/materials/rna-seq-de-novo Practical session on transciptome de novo assembly RNA-seq
Differential analysis of RNA-Seq data

Design, describe, explore and model

Keywords: Genomics, RNA-seq

Differential analysis of RNA-Seq data https://tess.elixir-europe.org/materials/differential-analysis-of-rna-seq-data Design, describe, explore and model Genomics, RNA-seq
RNA-Seq: Differential Expression Analysis

Be careful about experimental design : avoid putting all the replicates in the same lane, using the same barcode for the replicates, putting different number of samples in lanes etc... Non- uniformity of the per base read distribution (Illumina Random Hexamer Priming bias visible on the 13...

Keywords: Differential Expression, RNA-seq, transcriptomics

RNA-Seq: Differential Expression Analysis https://tess.elixir-europe.org/materials/rna-seq-differential-expression-analysis Be careful about experimental design : avoid putting all the replicates in the same lane, using the same barcode for the replicates, putting different number of samples in lanes etc... Non- uniformity of the per base read distribution (Illumina Random Hexamer Priming bias visible on the 13 first bases) Bias hierarchy : biological condition concentration run/flowcell lane At equivalent expression level, a long gene will have more reads than a short one. Non random coverage along the transcript. Multiple hit for some reads alignments. Differential Expression, RNA-seq, transcriptomics
Eukaryotic small RNA

Small RNAseq data analysis for miRNA identification

Keywords: RNA-seq

Eukaryotic small RNA https://tess.elixir-europe.org/materials/eukaryotic-small-rna Small RNAseq data analysis for miRNA identification RNA-seq
RNA-Seq: isoform detection and quantification

transcriptome from new condition tissue-speci c transcriptome different development stages transcriptome from non model organism cancer cell RNA maturation mutant How to manage RNA-Seq data with genes subjected to di erential splicing? Is it possible to discover new isoforms? Is it...

Keywords: Isoforms, RNA-seq, Transcriptomics

RNA-Seq: isoform detection and quantification https://tess.elixir-europe.org/materials/rna-seq-isoform-detection-and-quantification transcriptome from new condition tissue-speci c transcriptome different development stages transcriptome from non model organism cancer cell RNA maturation mutant How to manage RNA-Seq data with genes subjected to di erential splicing? Is it possible to discover new isoforms? Is it possible to quantify abundance of each isoform Isoforms, RNA-seq, Transcriptomics
NGS data exploration with the MicroScope Platform

Exploring data annotation on the genomics and transcriptomics levels with the MicroScope Platform and its tools

Keywords: Genomics, NGS, RNA-seq, SNP, Transcriptomics

NGS data exploration with the MicroScope Platform https://tess.elixir-europe.org/materials/ngs-data-exploration-with-the-microscope-platform Exploring data annotation on the genomics and transcriptomics levels with the MicroScope Platform and its tools Genomics, NGS, RNA-seq, SNP, Transcriptomics
Differential gene expression analysis : Practical part

RNA-seq: Differential gene expression analysis practical session

Keywords: Genomics, RNA-seq

Differential gene expression analysis : Practical part https://tess.elixir-europe.org/materials/differential-gene-expression-analysis-practical-part RNA-seq: Differential gene expression analysis practical session Genomics, RNA-seq
RNA-seq: Differential gene expression analysis

Transcriptome analysis provides information about the identity and quantity of all RNA molecules

Keywords: Genomics, RNA-seq

RNA-seq: Differential gene expression analysis https://tess.elixir-europe.org/materials/rna-seq-differential-gene-expression-analysis Transcriptome analysis provides information about the identity and quantity of all RNA molecules Genomics, RNA-seq
Isoform discovery and quanti cation from RNA-Seq data

Not available

Keywords: RNA-seq

Isoform discovery and quanti cation from RNA-Seq data https://tess.elixir-europe.org/materials/isoform-discovery-and-quanti-cation-from-rna-seq-data Not available RNA-seq
ChIP-seq analysis using R - Experimental design and peak calling.

This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling.

Keywords: ChIP-Seq, Experimental-design, Peak-calling, Visualisation

ChIP-seq analysis using R - Experimental design and peak calling. https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-experimental-design-and-peak-calling-cfd4c18f-6c86-45ae-ab0b-630422c76af6 This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling. ChIP-Seq, Experimental-design, Peak-calling, Visualisation
ChIP-seq analysis using R

ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a...

Keywords: ChIP-Seq, Experimental-design, Peak-calling, Differential-binding, Visualisation, Annotation, Homo-sapiens, R-programming

ChIP-seq analysis using R https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-5049bc9c-9bbb-4a6b-9244-37ed3980da0e ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a theoretical background and the means to perform peak calling and differential binding analysis. ChIP-Seq, Experimental-design, Peak-calling, Differential-binding, Visualisation, Annotation, Homo-sapiens, R-programming
ChIP-seq analysis using R - Experimental design and peak calling.

This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling.

Keywords: ChIP-Seq, Experimental-design, Peak-calling, Visualisation

ChIP-seq analysis using R - Experimental design and peak calling. https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-experimental-design-and-peak-calling This lecture is an introduction to ChIP-seq experiments and data. It provides a theoretical background to experimental design and peak calling. ChIP-Seq, Experimental-design, Peak-calling, Visualisation
ChIP-seq analysis using R - Quality Control

This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts.

Scientific topics: RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design

ChIP-seq analysis using R - Quality Control https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-quality-control This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts. RNA-Seq ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design
ChIP-seq analysis using R - File formats and QC

This lecture introduces the file formats of sequencing data before alignment and covers the general quality control of sequencing data focussing on RNA-Seq and ChIP-Seq.

Scientific topics: RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design

ChIP-seq analysis using R - File formats and QC https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-file-formats-and-qc This lecture introduces the file formats of sequencing data before alignment and covers the general quality control of sequencing data focussing on RNA-Seq and ChIP-Seq. RNA-Seq ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design
ChIP-seq analysis using R - Quality Control Walkthrough

This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts.

Scientific topics: RNA-Seq

Keywords: ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design

ChIP-seq analysis using R - Quality Control Walkthrough https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r-quality-control-walkthrough This practical illustrates steps that can be undertaken to assess the quality of the sequencing data. We will start from the fastq files and assess their quality in respect to potential contamination and technical artifacts. RNA-Seq ChIP-Seq, RNA-Seq, QC, Data-format, Experimental-design
ChIP-Seq

No description available

Keywords: ChIP-Seq, Experimental-design, QC, ChIP-Seq-QC, Data-format, Alignment, Peak-calling, Differential-binding, Annotation

ChIP-Seq https://tess.elixir-europe.org/materials/chip-seq No description available ChIP-Seq, Experimental-design, QC, ChIP-Seq-QC, Data-format, Alignment, Peak-calling, Differential-binding, Annotation
ChIP-seq analysis using R

ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a...

Keywords: ChIP-Seq, Experimental-design, QC, Data-format, Alignment, Peak-calling, Differential-binding, Visualisation, Annotation

ChIP-seq analysis using R https://tess.elixir-europe.org/materials/chip-seq-analysis-using-r ChIP-seq is the most commonly used technique to study binding profiles of chromatin proteins, such as TFs or histone modification patterns. This course is an introduction to ChIP-seq data, and data analysis mainly using R, some command line based peak-callers and online software. It provides a theoretical background and the means to perform peak calling and differential binding analysis. ChIP-Seq, Experimental-design, QC, Data-format, Alignment, Peak-calling, Differential-binding, Visualisation, Annotation