duet multiomics solution demo datasets
This section covers reference sequencing data generated using the following biomodal duet multiomics solution assays and processed using the duet bioinformatics pipeline:
- duet 6-base mosaic
- duet +modC mosaic
- duet evoC
- duet +modC
This data is freely available and can be utilised to explore the capabilities of the biomodal duet multiomics solution assays, assess benchmarks, reproduce performance, explore pipeline outputs, and more. Please follow the instructions below to download the desired dataset.
Table of Contents
- Data Overview
- Download instructions
- Install gcloud CLI and authenticate
- duet 6-base mosaic Dataset – Seraseq ctDNA Lymphoma Mix WT
- duet +modC mosaic Dataset – Seraseq ctDNA Lymphoma Mix WT
- duet evoC GIAB (Genome in a Bottle) gDNA sample
- duet evoC ES E14 mouse gDNA sample
- duet +modC GIAB (Genome in a Bottle) gDNA sample
- Reference FASTA files
- Further information and assistance
Data Overview
There are five example datasets provided:
- duet 6-base mosaic dataset for SeraCare’s ‘Seraseq ctDNA Lymphoma Mix WT’ which features genomic variants against a genomic background of GM24385
- duet +modC mosaic dataset for SeraCare’s ‘Seraseq ctDNA Lymphoma Mix WT’ which features genomic variants against a genomic background of GM24385
- duet evoC dataset for a GIAB (Genome in a Bottle) NA12878 (HG001) gDNA sample
- duet evoC dataset for a mouse ES-E14 gDNA sample
- duet +modC dataset for a GIAB (Genome in a Bottle) NA12878 (HG001) gDNA sample. In this dataset, the multisample outputs (zarr store and QC reports) also feature additional samples to demonstrate the properties of multi-sample output files
The available data has been generated using the duet multiomics solution bioinformatics pipeline and is representative of the outputs and performance available from the biomodal assays listed at the top of this page. Data for the duet 6-base mosaic and duet +modC mosaic assays has been generated with pipeline version 1.6.0. Data for the duet evoC and duet +modC assays has been generated using pipeline version 1.5.0.
For each dataset, the primary output files are grouped into subdirectories as follows:
| Folder | Description |
|---|---|
reports |
Multi-sample QC summary reports available in a variety of formats (HTML, Excel, csv) |
sample_outputs/allele_specific_methylation |
Allele Specific Methylation (ASM) files with one row per heterozygous allele. Methylation on reads associated with each allele is quantified and a call of allele specific methylation is provided where asymmetry is significant in the Fisher’s Exact test. |
sample_outputs/bams |
Binary Alignment Map (BAM) files representing all sequences aligned to the reference genome. Methylation status is represented using a MM SAM tag. |
sample_outputs/modc_quantification |
Plain-text quantification files reporting modified cytosine quantification (mC, hmC, or modC) for each genomic context: CG, CHG, CHH. |
sample_outputs/variant_call_files/germline |
Variant Call Format (VCF) files containing called germline variants |
sample_outputs/zarr_store |
Multi-sample compressed methylation quantification file format for compatibility with biomodal’s modality XPLR software. |
Additionally, there are examples of the diagnostic files routinely published by the pipeline:
| Folder | Description |
|---|---|
controls |
Diagnostic files related to the spike-in controls provided with the duet kits |
diagnostics |
General diagnostic files related to the pipeline execution and resolved FASTQ files |
duet 6-base mosaic Dataset – Seraseq ctDNA Lymphoma Mix WT
For this dataset, one Seraseq ctDNA Lymphoma Mix WT sample (30 ng input) was prepared using the duet 6-base mosaic kit, and sequenced at 2×151 using a NovaSeq6000. Sequencing data was processed using the biomodal duet software.
The following results are representative of routine processing that can be performed and achieved with the duet 6-base mosaic kit.
| Sample name | Sample Origin | Reads | Mean Coverage |
|---|---|---|---|
CEG2483-LA01-D4284-010 |
Seraseq ctDNA Lymphoma Mix WT | 1069M | 30.4X |
duet +modC mosaic Dataset – Seraseq ctDNA Lymphoma Mix WT
For this dataset, one Seraseq ctDNA Lymphoma Mix WT sample (30 ng input) was prepared using the duet +modC mosaic kit, and sequenced at 2×151 using a NovaSeq6000. Sequencing data was processed using the biomodal duet software.
The following results are representative of routine processing that can be performed and achieved with the duet +modC mosaic kit.
| Sample name | Sample Origin | Reads | Mean Coverage |
|---|---|---|---|
CEG2483-ML01-A4268-012 |
Seraseq ctDNA Lymphoma Mix WT | 1183M | 31.3X |
duet evoC Dataset – NA12878
For this dataset, one GIAB NA12878 gDNA sample (80 ng input) was sonicated to 250bp fragments. Libraries were prepared using the duet evoC kit and were sequenced at 2×151 using a NovaSeq6000. Sequencing data was downsampled to 1 billion input reads (sufficient for over 30X coverage) and processed using the biomodal duet software.
The following results are representative of routine processing that can be performed and achieved with the duet evoC kit.
| Sample name | Sample Origin | Reads | Mean Coverage |
|---|---|---|---|
CEG1485-EL01-D1115-005 |
NA12878 (HG001) | 1000M | 32.6X |
duet evoC Dataset – mouse ES E14 cell line
For this dataset, one mouse ES-E14 cell line was sonicated to 250bp fragments. Libraries were prepared using the duet evoC kit and were sequenced at 2×151 using a NovaSeq6000. Sequencing data was downsampled to 1 billion input reads (sufficient for over 30X coverage) and processed using the biomodal duet software.
The following results are representative of routine processing that can be performed and achieved with the duet evoC kit.
| Sample name | Sample Origin | Reads | Mean Coverage |
|---|---|---|---|
CEG1485-EL01-D1115-001 |
ES-E14 (mouse) | 1000M | 32.8X |
duet +modC Dataset – NA12878 (incl. multi-sample output file examples)
For this dataset, 7 GIAB (Genome in a Bottle) gDNA samples, including the Ashkenazi Trio, each of 80ng input and sonicated to 250bp fragments, were prepared using the duet +modC kit and sequenced as 2×151 cycles using a NovaSeq6000. Sequencing data was downsampled to 1 billion input read-pairs (sufficient for over 30X coverage) and processed using the biomodal duet software.
The following table shows the samples sequenced.
| Sample name | Sample Origin | Reads | Mean Coverage |
|---|---|---|---|
CEG1532-EL01-A1200-002 |
NA12878 (HG001) | 1000M | 31.3X |
CEG1532-EL01-A1200-005 |
NA24385 (HG002) | 1000M | 31.2X |
CEG1532-EL01-A1200-008 |
NA24149 (HG003) | 1000M | 31.3X |
CEG1532-EL01-A1200-011 |
NA24143 (HG004) | 1000M | 31.3X |
CEG1532-EL01-A1200-015 |
NA24631 (HG005) | 1000M | 31.4X |
CEG1532-EL01-A1200-017 |
NA24694 (HG006) | 1000M | 31.4X |
CEG1532-EL01-A1200-020 |
NA24695 (HG007) | 1000M | 31.0X |
To limit the size of this dataset:
- Multisample pipeline outputs such as QC reports, and the methylation quantification zarr store, have been made available featuring all 7 samples. This demonstrates the multi-sample properties/content of these files.
- For single-sample pipeline outputs, such as BAM files and plain-text methylation quantification samples, only the outputs relating to one sample (NA12878) have been provided.
Download instructions
Install gcloud CLI and authenticate
- Please create a Google account using your institutional email address by selecting “Use your existing email address” option during the account creation. If you already have a Google account, please omit this step.
- Download and install the Google CLI. Make sure that the
gcloud initcommand has been run to authenticate using your Google account.
If you are using Windows OS and are not able to use bash, you can use the following commands to download the folders individually via the gcloud storage commands listed below for +modC and duet evoC datasets.
For each dataset, it is possible to download:
- The complete output dataset
- The input FASTQ files
duet 6-base mosaic Dataset – Seraseq ctDNA Lymphoma Mix WT
Complete output dataset
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
ctDNA/6-base-mosaic/1.6.0 |
Complete duet 6-base mosaic ctDNA output dataset | 192 GiB |
gcloud storage cp --recursive gs://biomodal-data/ctDNA/6-base-mosaic/1.6.0 ./ |
Input FASTQ files
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
ctDNA/6-base-mosaic/input |
duet 6-base mosaic ctDNA input FASTQ files | 152 GiB |
gcloud storage cp --recursive gs://biomodal-data/ctDNA/6-base-mosaic/input ./ |
duet +modC mosaic Dataset – Seraseq ctDNA Lymphoma Mix WT
Complete output dataset
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
ctDNA/+modC-mosaic/1.6.0 |
Complete +modC 6-base mosaic ctDNA output dataset | 197 GiB |
gcloud storage cp --recursive gs://biomodal-data/ctDNA/+modC-mosaic/1.6.0 ./ |
Input FASTQ files
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
ctDNA/+modC-mosaic/input |
duet +modC mosaic ctDNA input FASTQ files | 167 GiB |
gcloud storage cp --recursive gs://biomodal-data/ctDNA/+modC-mosaic/input ./ |
duet evoC GIAB (Genome in a Bottle) gDNA sample
Complete output dataset
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
giab/evoC/1.5.0 |
Complete duet evoC GIAB output dataset | 196 GiB |
gcloud storage cp --recursive gs://biomodal-data/giab/evoC/1.5.0 ./ |
Input FASTQ files
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
giab/evoC/input |
duet evoC GIAB input FASTQ files | 125 GiB |
gcloud storage cp --recursive gs://biomodal-data/giab/evoC/input ./ |
duet evoC ES E14 mouse gDNA sample
Complete output dataset
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
mouse/evoC/1.5.0 |
Complete duet evoC mouse output dataset | 184 GiB |
gcloud storage cp --recursive gs://biomodal-data/mouse/evoC/1.5.0 ./ |
Input FASTQ files
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
mouse/evoC/input |
duet evoC mouse input FASTQ files | 123 GiB |
gcloud storage cp --recursive gs://biomodal-data/mouse/evoC/input ./ |
duet +modC GIAB (Genome in a Bottle) gDNA sample
Complete output dataset
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
giab/+modC/1.5.0 |
Complete duet +modC GIAB output dataset | 216 GiB |
gcloud storage cp --recursive gs://biomodal-data/giab/+modC/1.5.0 ./ |
Input FASTQ files
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
giab/+modC/input |
duet +modC GIAB input FASTQ files | 124 GiB |
gcloud storage cp --recursive gs://biomodal-data/giab/+modC/input ./ |
Reference FASTA files
| Folder | Description | Approximate Size | Download command |
|---|---|---|---|
reference_fasta/human |
Human reference genome GRCh38 | 753 MiB |
gcloud storage cp --recursive gs://biomodal-data/reference_fasta/human ./ |
reference_fasta/mouse |
Mouse reference genome GRCm38.p6 | 703 MiB |
gcloud storage cp --recursive gs://biomodal-data/reference_fasta/mouse ./ |
reference_fasta/controls |
duet spike-in controls | 17 KiB |
gcloud storage cp --recursive gs://biomodal-data/reference_fasta/controls ./ |
Note that for the duet +modC and duet evoC assays, the lambda control is fully methylated and the pUC19 control is fully unmethylated, whereas for the duet +modC mosaic and duet 6-base mosaic assays, the lambda control is fully unmethylated and the pUC19 control is fully methylated.
Further information and assistance
For additional information, assistance, or for access to demo data for previous pipeline versions, please contact support@biomodal.com.