Showing 30 materials out of 3140
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Types of statistical studies
Statistical studies
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ChIP-seq analysis using R - Experimental design and peak calling.
ChIP-Seq Experimental-design Peak-calling Visualisation
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Data management in social sciences and humanities with DMEG
Life sciences Social sciences Health sciences Research Data Management tools practices use cases challenges DMEG RDMkit …
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This
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Thalemine tutorials
Thalemine
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Galaxy Server administration - Galaxy from an administrator point of view
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Hypothesis testing
Statistical studies
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Categorical data
Statistical studies
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x2Go
Cloud
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ChIP-Seq
ChIP-Seq Experimental-design QC ChIP-Seq-QC Data-format Alignment Peak-calling Differential-binding Annotation
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NGS introduction to file formats
HTS-introduction FASTQ BAM VCF WIG CRAM GFF3
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Introduction to NGS and RNA-seq
HTS-introduction Data-format Alignment Differential-expression Feature-summarisation QC
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Variants: alignment and pre-treatment; GATK
Genomics
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GBS
Genotyping
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RNA-Seq Analysis with Biocluster and R
RNA-Seq Alignment Annotation BAM Differential-expression Exploratory-analysis Expression-estimation FASTA FASTQ Feature-summarisation …
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RNA-Seq
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EMBO High Throughput Sequencing Data Analysis, Cambridge, UK, 2014
RNA-Seq FASTQ GFF3 BAM Populus-tremula Pre-processing QC Alignment Annotation Expression-estimation …
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Galaxy III: Visualization
Genomics
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Challenges and issues in data management
Life sciences Social sciences Health sciences Research Data Management tools practices use cases challenges DMEG RDMkit …
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RNA-seq module Frederik Coppens
HTS-introduction
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Getting started with RNAseq: Transforming raw reads into biological insights - YouTube
RNA-Seq Genome annotation RNA-seq Next generation sequencing
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Day 1 - RNA-Seq Analysis
Alignment BAM FASTA FASTQ QC
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Recorded webinar
Exploring metabolite metabolism using the Enzyme Portal
Enzymes Metabolomics
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Material for the course RNA-seq data analysis with Chipster
RNA-Seq FASTQ QC Pre-processing Alignment BAM Expression-estimation Feature-summarisation Differential-expression Statistical-model …
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Preprocessing RNA-Seq data
Pre-processing
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ChIP-seq analysis using R - Practical
ChIP-Seq Peak-calling Differential-binding Visualisation Annotation Homo-sapiens R-programming
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Exploratory analysis and downstream analysis
Statistical-model Exploratory-analysis
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GOBLET Poster at ISMB 2014
Goblet survey life scientists
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Introduction to R and Bioconductor lecture
R-programming
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Using Large Language Models for Biodata Exploration: From Theory to Practice
• beginnermachine learning mark ibberson group training
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