Showing 30 materials out of 3172
View all & filter
-
Types of statistical studies
Statistical studies
-
ChIP-seq analysis using R - Experimental design and peak calling.
ChIP-Seq Experimental-design Peak-calling Visualisation
-
Improve Shiny and RStudio integration within Galaxy using Galaxy Interactive Environment
biohackaton 2018
-
This
-
Thalemine tutorials
Thalemine
-
Galaxy Server administration - Galaxy from an administrator point of view
-
Hypothesis testing
Statistical studies
-
Talk
Spatial Transcriptomics Technologies and Analysis Tools
-
Categorical data
Statistical studies
-
x2Go
Cloud
-
Talk
Updates to default caching location
-
Galaxy Installation
Galaxy
-
Lecture: Hypothesis testing and multiple testing
Statistics and probability
-
ChIP-Seq
ChIP-Seq Experimental-design QC ChIP-Seq-QC Data-format Alignment Peak-calling Differential-binding Annotation
-
NGS introduction to file formats
HTS-introduction FASTQ BAM VCF WIG CRAM GFF3
-
Introduction to NGS and RNA-seq
HTS-introduction Data-format Alignment Differential-expression Feature-summarisation QC
-
Common Sequence Analysis Work Flows
Workflows
-
Variants: alignment and pre-treatment; GATK
Genomics
-
GBS
Genotyping
-
RNA-Seq Analysis with Biocluster and R
RNA-Seq Alignment Annotation BAM Differential-expression Exploratory-analysis Expression-estimation FASTA FASTQ Feature-summarisation …
-
RNA-Seq
-
EMBO High Throughput Sequencing Data Analysis, Cambridge, UK, 2014
RNA-Seq FASTQ GFF3 BAM Populus-tremula Pre-processing QC Alignment Annotation Expression-estimation …
-
Galaxy III: Visualization
Genomics
-
Talk
R / Bioconductor for open-source analysis and comprehension of high-throughput genomic data
-
RNA-seq module Frederik Coppens
HTS-introduction
-
Day 1 - RNA-Seq Analysis
Alignment BAM FASTA FASTQ QC
-
Recorded webinar
Exploring metabolite metabolism using the Enzyme Portal
Enzymes Metabolomics
-
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 …
-
Preprocessing RNA-Seq data
Pre-processing
-
ChIP-seq analysis using R - Practical
ChIP-Seq Peak-calling Differential-binding Visualisation Annotation Homo-sapiens R-programming
Showing 0 collections
Filter
Showing 0 workflows
Filter