Showing 30 materials out of 2794
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
-
ProtVista (protein annotation viewer) extension using Bioschemas data
biohackaton 2018
-
fhdsl/GitHub_Automation_for_Scientists
Workflows Reproducibility Version control
-
This
-
Thalemine tutorials
Thalemine
-
Galaxy Server administration - Galaxy from an administrator point of view
-
Hypothesis testing
Statistical studies
-
Categorical data
Statistical studies
-
Working Remotely
Extras
-
Permissions
Extras
-
Filename Expansion
Shell
-
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
-
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 …
-
Single-Cell Transcriptomics with R
•• intermediategenes and genomes biochemistry biomarkers experimental biology functional genomics next generation sequencing population genomics single-cell biology training transcriptomics … -
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
-
fhdsl/NIH_Data_Sharing
Data management FAIR data
-
Exploratory analysis and downstream analysis
Statistical-model Exploratory-analysis
-
Introduction to RNA-Seq data analysis
RNA-Seq
Showing 0 collections
Filter
Showing 0 workflows
Filter