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12 materials found

Authors: Jared Simpson  or malloryfreeberg 


Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-6-de-novo-assmebly Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate students
Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-1-introduction-to-high-throughput-sequencing Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-5-genome-assembly Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-4-genome-alignment Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly

Course covers the bioinformatics tools required to analyze genomic data sets.

Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2017-module-3-genome-alignment-and-assembly Course covers the bioinformatics tools required to analyze genomic data sets. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2017-module-6-de-novo-assembly Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads. Researchers Graduate Students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-module-1-introduction-to-high-throughput-sequencing Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 6-De Novo Assembly

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 6-De Novo Assembly https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-6-de-novo-assembly Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-1-introduction-to-high-throughput-sequencing Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate students Post-Doctoral Fellows Researchers Biologists, Genomicists, Computer Scientists
ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)

ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of Tal1? - Which genes are regulated by Tal1? Objectives of the tutorial: - Inspect read quality with FastQC -...

Resource type: Tutorial

ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1) https://tess.elixir-europe.org/materials/chip-seq-data-analysis-identification-of-the-binding-sites-of-the-t-cell-acute-lymphocytic-leukemia-protein-1-tal1 ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of Tal1? - Which genes are regulated by Tal1? Objectives of the tutorial: - Inspect read quality with FastQC - Perform read trimming with Trimmomatic - Align trimmed reads with BWA - Assess quality and reproducibility of experiments - Identify Tal1 binding sites with MACS2 - Determine unique/common Tal1 binding sites from G1E and Megakaryocytes - Identify unique/common Tal1 peaks occupying gene promoters - Visually inspect Tal1 peaks with Trackster
Transcriptomics - Differential abundance testing of small RNAs

Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - What small RNAs are expressed? - What RNA features have significantly different numbers of small RNAs targeting them between two conditions? Objectives of the tutorial: - Process small RNA-seq datasets...

Resource type: Tutorial

Transcriptomics - Differential abundance testing of small RNAs https://tess.elixir-europe.org/materials/transcriptomics-differential-abundance-testing-of-small-rnas Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - What small RNAs are expressed? - What RNA features have significantly different numbers of small RNAs targeting them between two conditions? Objectives of the tutorial: - Process small RNA-seq datasets to determine quality and reproducibility. - Filter out contaminants (e.g. rRNA reads) in small RNA-seq datasets. - Differentiate between subclasses of small RNAs based on their characteristics. - Identify differently abundant small RNAs and their targets.
Transcriptomics - De novo transcriptome reconstruction with RNA-Seq

Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - What genes are differentially expressed between G1E cells and megakaryocytes? - How can we generate a transcriptome de novo from RNA sequencing data? Objectives of the tutorial: - Analysis of RNA...

Resource type: Tutorial

Transcriptomics - De novo transcriptome reconstruction with RNA-Seq https://tess.elixir-europe.org/materials/transcriptomics-de-novo-transcriptome-reconstruction-with-rna-seq Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - What genes are differentially expressed between G1E cells and megakaryocytes? - How can we generate a transcriptome de novo from RNA sequencing data? Objectives of the tutorial: - Analysis of RNA sequencing data using a reference genome - Reconstruction of transcripts without reference transcriptome (de novo) - Analysis of differentially expressed genes