Technical Information

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Application notes

“External Applications”: adding functionalities to the CLC Genomics Server

A Sample to Insight® NGS solution for myeloid neoplasms: Redefined amplicon sequencing for low variant detection and interpretation

Assembly and annotation of plastid genomes using QIAGEN CLC Genomics Workbench

CLC Server Command Line Tools: a powerful choice to optimize your analyses

Comparative Analysis of Endophytic Bacterial Microbiomes in Grapevine

Comparative analysis of three bovine genomes

Detection of FLT3 internal tandem duplications with QIAseq Targeted Panels and QIAGEN CLC Genomics Workbench analysis workflows

Example queries for HGMD MySQL Database

Improving Microbiome Sequencing using QIAseq® 16S/ITS Panels

Improving structural annotation in complex genomes with QIAGEN CLC Genomics Workbench

QIAseq Targeted Panel Analysis

RNA-seq analysis using long and short reads from pathogen-infected plant tissues

Whole Exome Sequencing Benchmark

Whole genome functional annotation of Solanum lycopersicum

Workflows for extracting and analyzing microbiomes from whole-genome data of plant and animal species

White papers

A comprehensive analysis of coregulator recruitment, androgen receptor function and gene expression in prostate cancer

A strategy for evaluating genomic assemblies in QIAGEN CLC Genomics Workbench

Analyzing whole human genomes for as little as $22

Challenges in Clinical Testing

Characterizing the Microbiome through Targeted Sequencing of Bacterial 16S rRNA and Fungal ITS Regions

Chip-seq Analysis

CLC read mapper

Copy number variant detection

De novo assembly

Discovering the functional potential of microbial communities through whole metagenome shotgun sequencing analysis

Dynamics in the airway microbiome in children with Cystic fibrosis as revealed by 16S rRNA gene sequencing

Phenotype-Driven Ranking filter

Probabilistic Variant Caller 1.1

TET2 binds the androgen receptor and loss is associated with prostate cancer

Transcription factor ChIP-seq

Understanding Breast Cancer Subtypes by Jointly Interpreting Tumor Genomes and Transcriptomes