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Introduction
- The concept of Biomedical Genomics Analysis
- System requirements
- Contact information
Getting started
- Data import and export
- Import sequencing data
- Prepare raw data
Reference data management
- QIAGEN Sets
UMI tools
- Remove and Annotate with Unique Molecular Index
- Calculate Unique Molecular Index Groups
- Create UMI Reads from Grouped Reads
- Create UMI Reads from Reads
- Create UMI Reads for miRNA
- Annotate Variants with Unique Molecular Index Info
QIAseq tools
- Quantify QIAseq RNA
- QC for RNAscan Panels
- Annotate Fusions with Known Fusion Information
- Validate QIAseq Read Structure (beta)
  - Output from Validate QIAseq Read Structure (beta)
Biomedical utility tools
- Annotate Structural Variants
- Extract Reads Matching Primers
- Identify Mispriming Events
  - Output from Identify Mispriming Events
- Remove Ligation Artifacts
- Trim Primers of Mapped Reads
- Convert Annotation Track Coordinates
Immune repertoire analysis
- Import/Export VDJtools Clonotypes
- Import Immune Reference Segments
- Immune Repertoire Analysis
  - Output from the Immune Repertoire Analysis tool
- Filter Immune Repertoire
- Compare Immune Repertoires
  - Output from Compare Immune Repertoires tool
- Clonotypes
- Clonotype Sample Comparison
Oncology score estimation
- Calculate TMB Score
- Detect MSI Status
  - Output from Detect MSI Status
- Generate MSI Baseline
- Calculate HRD Score (beta)
QCI Interpret integration
- Prepare QCI Interpret Upload
- Upload Prepared QCI Interpret Report
- Upload to QCI Interpret
Haplotype Calling (beta)
- Genotype track
- Microhaplotype Caller (beta)
  - Output from Microhaplotype Caller (beta)
- Convert to Genotype Track (beta)
- Import VCF to Genotype Track (beta)
- Export Genotype VCF (beta)
- Export Genotype CSV (beta)
- Export Marker Genotypes (beta)
General tools
- Annotate RNA Variants
  - Import Known Fusion Information Track
- Detect Regional Ploidy
  - Output from Detect Regional Ploidy
- Import Gene-Pseudogene Table
- Prepare Guidance Variant Track
- Refine Read Mapping
- Structural Variant Caller
  - Output from the Structural Variant Caller
- Targeted Methyl associated tools
- Trim Primers and their Dimers from Mapping
Batching workflows
QIAseq sample analysis
- The Analyze QIAseq Samples guide
- How to create a custom sample analysis workflow
  - Import QIAGEN Primers
- Create a custom Trim adapter list (optional)
  - UMI group sizes
QIAseq DNA workflows
- Create QIAseq DNA CNV Control Mapping
  - Output from the Create QIAseq DNA CNV Control Samples workflow
- Detect QIAseq MSI Status
  - Output of the Detect QIAseq MSI Status workflow
- Detect MSI Status with Baseline Creation
- Identify QIAseq DNA Variants
- Identify QIAseq DNA Pro Somatic Variants with LOH Detection
  - Output from the Calculate LOH workflow
- Identify QIAseq DNA Somatic Variants with HRD Score (beta)
  - Output from the Identify HRD Score workflow
- Identify QIAseq DNA Somatic Variants with TMB Score
  - Output from the Identify TMB Status workflow
- Identify QIAseq DNA Ultra Somatic Variants
- Exome and xHYB template workflows
- Create QIAseq Exome CNV Control Mapping
  - Output from the Create QIAseq Exome CNV Control Mapping workflow
- Identify QIAseq Exome Causal Inherited Variants in Trio
  - Output from the Identify QIAseq Exome Causal Inherited Variants in Trio template workflow
- Identify QIAseq Exome Germline Variants
  - Output from the Identify QIAseq Exome Germline Variants template workflow
- Identify QIAseq xHYB Germline Variants
  - Identify QIAseq xHYB Germline Variants including Mitochondrial
- Identify QIAseq xHYB Somatic Variants
  - Identify QIAseq xHYB Somatic Variants including Mitochondrial
QIAseq RNA workflows
- Detect QIAseq RNAscan Fusions
  - Output from the Detect QIAseq RNAscan Fusions workflow
- Perform QIAseq RNA Fusion XP Analysis
  - Output from the Perform QIAseq RNA Fusion XP Analysis workflow
- Perform QIAseq FastSelect RNA Expression and Fusion Calling (N6-T RT + ODT-RT primer)
  - Output from the Perform QIAseq FastSelect RNA Expression and Fusion Calling (N6-T RT + ODT-RT primer) workflow
- Perform QIAseq FastSelect Rna Expression and Fusion Calling (N6-T RT primer)
  - Output for the Perform QIAseq FastSelect RNA Expression and Fusion Calling (N6-T RT primer) workflow
- Perform QIAseq FastSelect RNA Gene Expression (ODT-RT primer)
  - Output from the Perform QIAseq FastSelect RNA Gene Expression (ODT-RT primer) workflow
- Detect Wells for UPXome
- Demultiplex QIAseq UPXome Reads
  - Running the QIAseq UPXome workflows
- Perform QIAseq UPXome RNA Expression and Fusion Calling (N6-T RT + ODT-RT primer)
  - Output from the Perform QIAseq UPXome RNA Expression and Fusion Calling (N6-T RT + ODT-RT primer) workflow
- Perform QIAseq UPXome Rna Expression and Fusion Calling (N6-T RT primer)
  - Output for the Perform QIAseq UPXome RNA Expression and Fusion Calling (N6-T RT primer) workflow
- Perform QIAseq UPXome RNA Gene Expression (ODT-RT primer)
  - Output from the Perform QIAseq UPXome RNA Gene Expression (ODT-RT primer) workflow
- QIAseq miRNA Differential Expression
- QIAseq miRNA Quantification
  - QIAseq miRNA Quantification outputs
- Quantify QIAseq RNA Expression
  - Output from the Quantify QIAseq RNA Expression workflow
- Demultiplex QIAseq UPX 3' Reads
- Quantify QIAseq UPX 3'
  - Output from the Quantify QIAseq UPX 3' workflow
Other QIAseq workflows
- Detect QIAseq Methylation
  - Output from the Detect QIAseq Methylation workflow
- Perform QIAseq Immune Repertoire Analysis
  - Reference data sets for immune workflows
  - Output from the Perform QIAseq Immune Repertoire Analysis workflow
- Perform QIAseq Targeted TCR Analysis
  - Output from the Perform QIAseq Targeted TCR Analysis workflow
- Perform QIAseq Multimodal Analysis
  - Output from the Perform QIAseq Multimodal Analysis (Illumina)
  - Running multimodal workflows in batch using metadata
- Perform QIAseq Multimodal Analysis with TMB and MSI
  - Output from the Perform QIAseq Multimodal Analysis with TMB and MSI (Illumina)
SARS-CoV-2 workflows
- Identify ARTIC V3 SARS-CoV-2 Low Frequency and Shared Variants (Illumina)
- Identify QIAseq SARS-CoV-2 Low Frequency and Shared Variants (Illumina)
- Identify Ion AmpliSeq SARS-CoV-2 Low Frequency and Shared Variants (Ion Torrent)
- SARS-CoV-2 workflow output
  - Summary outputs
  - Sample specific outputs
TruSight Oncology 500
- Perform TSO500 DNA Analysis
  - Output from Perform TSO500 DNA Analysis
- Perform TSO500 RNA Analysis
  - Output from Perform TSO500 RNA Analysis
WGS, WES, TAS and WTS template workflow descriptions
- General workflows
- Somatic cancer
- Hereditary disease
Whole genome sequencing (WGS)
- General Workflows (WGS)
  - Annotate Variants (WGS)
  - Identify Known Variants in One Sample (WGS)
- Somatic Cancer (WGS)
- Hereditary Disease (WGS)
  - Filter Causal Variants (WGS-HD)
  - Identify Variants (WGS-HD)
Whole exome sequencing (WES)
- General Workflows (WES)
- Somatic Cancer (WES)
- Hereditary Disease (WES)
Targeted amplicon sequencing (TAS)
- General Workflows (TAS)
  - Annotate Variants (TAS)
  - Identify Known Variants in One Sample (TAS)
- Somatic Cancer (TAS)
- Hereditary Disease (TAS)
- QIAGEN GeneRead Panel Analysis
  - Output from the QIAGEN GeneRead Panel Analysis
Whole transcriptome sequencing (WTS)
- Annotate Variants (WTS)
- Compare Variants in DNA and RNA
- Identify Candidate Variants and Genes from Tumor Normal Pair
- Identify Variants and Add Expression Values
- Identify and Annotate Differentially Expressed Genes and Pathways
Appendices
- Install and uninstall plugins
  - Installation of plugins
  - Uninstalling plugins
Bibliography

Track view

The Track view of the Genotype track has the following options in the Track layout side panel:

Data aggregation

Allows you to specify whether the information in the track should be shown in detail or whether you wish to aggregate data. By aggregating data you decrease the detail level but increase the speed of the data display process, which is of particular interest when working with big data sets. The threshold (in bp) for when data should be aggregated can be specified with the drop-down box. The threshold describes the unit (or "bucket") size in base pairs, above which the data will start being aggregated. The bucket size depends on the track length and the zoom level. Hence, a data aggregation threshold with a low value will only show details when zoomed in, whereas a high value means that you can see details even when zoomed out. Please note that when using the high values, it will take longer time to display the data on the screen.

Show filtered

When enabled, alleles with applicable filters will be shown crossed out. Filtered alleles are hidden as default.

Reference alleles

Show reference alleles in a dimmed color to make them more distinguishable.

View mode

The view mode selection specifies whether the multiplicity of the displayed allele is based on its allele count in the sample (see 'Allele count' annotation in allele table), or on the number of haplotypes it is part of. An allele may be part of multiple haplotypes describing different aspects of the same DNA molecule (see 'Haplotypes' annotation in allele table).

Allele count For each locus the alleles are displayed according to their allele count in the sample. Haplotype details are not available in this view mode.
Haplotypes Haplotypes are displayed as linked haplotype alleles. Annotation and filter details are available in the tooltip when hovering over a haplotype allele. If the haplotypes are not separate (see 'Separation' annotation in allele table) they may describe the same DNA molecule in the sample genome.

Annotation color

Makes it possible to change the allele color.