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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

System requirements

Biomedical Genomics Analysis 23.1 is a plugin for use with CLC Genomics Workbench 23.0.1 or newer. The system requirements for CLC Genomics Workbench are provided at http://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=System_requirements.html.

The system requirements of Biomedical Genomics Analysis 23.1 are the same as those for the CLC Genomics Workbench apart from the following:

16 GB RAM required
24 GB RAM recommended
Minimum 100 GB free disk space in the tmp directory
Minimum 90 GB free disk space required in the CLC_References directory of the CLC Workbench if you are not connecting to a CLC Server and using a CLC_References area on that server. The reference data location on a CLC Workbench can be changed from the default location, as described in http://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=References_management.html.

For QIAseq analysis the following use cases have specific system requirements:

UPX 3' or UPXome analysis on multiple samples sometimes requires more than 24 GB of RAM.
For full Exome, Multimodal Pan Cancer or TMB analysis, we recommend running on a server. The number of cores significantly affects the runtime.