Roche KAPA HyperCap Target Enrichment App User Guide

Roche KAPA HyperCap Target Enrichment App

Product Information

The product being described in this user manual is the KAPA Target Enrichment system, specifically the KAPA HyperCap and KAPA HyperPETE designs. These designs are used for custom target enrichment based on the genomic regions provided by the user. The purpose of reviewing the design is to ensure that all desired regions are adequately covered and that the design meets the user’s needs. This review is a required step before the design can be released for manufacturing.

Product Usage Instructions

1. To review a design, access the HyperDesign Tool home page and select the “Your Designs” option.
2. Keep in mind that the design tool is for research use only and should not be used for diagnostic procedures.
3. Review the Coverage Summary File and other design files to understand the properties of the custom design.
   • Open the coverage_summary.txt file using a text editor or spreadsheet software.
   • Refer to the Appendix: Design Files for definitions of each field.
   • Review each field to ensure that the design meets the specifications for the project.
   • Open the coverage.txt file, preferably with a spreadsheet program like Microsoft Excel, to review region-by-region coverage information.
   • Sort the file by percent coverage to identify regions with little or no coverage.
4. Review the Design BED files using the appropriate software instructions.
   • Save the primary_targets.bed, capture_targets.bed, and predicted_uncovered_targets.bed files provided in your design file deliverables.
   • Refer to the software instructions, such as using UCSC Genome Browser, to review these BED files.

Remember that the KAPA Target Enrichment system is for research use only and should not be used for diagnostic procedures.

Guide to Reviewing and Approving Custom KAPA Target Enrichment (KAPA HyperCap or KAPA HyperPETE) Designs

Overview

• This document describes how to review and approve proposed custom KAPA Target Enrichment (KAPA HyperCap or KAPA HyperPETE) designs based on the genomic regions you provided.
• The purpose of reviewing a design is to verify that all desired regions are adequately covered and that the design meets your needs. This is a required part of the process, as a custom design needs to be reviewed and approved before it can be released to manufacturing.
• If the regions that are vital to your experiment are not adequately covered, you might need to modify the parameters of your design, or contact your local Roche representative for additional options such as working with an expert designer.

Getting Started

• To review a design (created using the automated design tool or by working with expert designers), go to the HyperDesign Tool home page and choose the Your Designs option.
• Roche provides design files in three formats:
  • BED (.bed) files: Viewable in web-based genome browsers, e.g., UCSC Genome Browser, Integrative Genomics Viewer (IGV, Broad Institute), or Ensembl.
  • Coverage Summary (.txt) files: Viewable with a text editor or spreadsheet software.
  • Design Report (.pdf) file: Viewable with any PDF viewer, contains relevant information about your design.

When reviewing your design, keep in mind the following:

• For the purpose of coverage visualization, use the three BED files provided with the design:
  • primary_targets.bed
  • capture_targets.bed
  • predicted_no_coverage_regions.bed

See Appendix: Design Files for more information.

• Summary files distinguish between coverage and estimated coverage as well as capture and estimated capture. The distinctions are as follows:
  • Capture is the sequence obtained when the probe/primer hybridized with the DNA library fragments.
  • Coverage is the sequence of the target regions, or regions of interest.
  • Estimated is an estimated capture or coverage of sequence adjacent to the probe/primer. The laboratory protocol results in probes/primers reliably capturing up to 100 bp of sequence on either side of the probe/primer target. The value given by the estimated capture (or coverage) metric refers to the sequence targeted by the probe/primer and the adjacent sequence predicted to be captured following the KAPA HyperCap or KAPA HyperPETE Workflows.

NOTE: if the value is specified as just capture or coverage, it refers to only the sequences targeted by the probes/primers.

NOTE: for degraded samples (e.g., FFPET, ancient DNA) estimated values are a less reliable prediction for sequence coverage.

• Focus on gaps in the capture_targets track that do not provide coverage for the primary_targets track. These gaps represent portions of a target region not directly covered by the probes/primers. Review the region-by-region coverage file for detailed direct probe/primer coverage or estimated probe/primer coverage for each region. Review the predicted_no_coverage_regions file for regions estimated to have no coverage.
• If two or more target regions overlap, Roche automatically merges them into a single region. Therefore, “Initial regions count” and “Final regions count after consolidation” may differ.
• Regions not covered by the design are typically repetitive regions, which, if included, cause capture of other homologous regions in the genome and decrease capture efficiency. Therefore, most KAPA Target Enrichment (KAPA HyperCap or KAPA HyperPETE) experiments benefit from excluding these regions in the design. Check the region-by-region coverage file (ending in coverage.txt) for information on regions not covered due to repetitive regions.
• Where available, the stringency filter Roche uses, by default, does not include low complexity regions in the design. For customers working with an expert designer, and these regions are necessary to answer a specific research question, please note this when submitting the design request (use the “Additional details” field when completing the electronic design specification form [eDSF]). Be aware that using less stringent criteria during design generation may provide more genomic coverage at the cost of a decrease in capture efficiency. There may be more off-target reads when the captured DNA is sequenced.

Review a Custom Design

Step 1. Review the Coverage Summary File and Other Design Files
The design and coverage files describe the properties of the KAPA Target Enrichment (KAPA HyperCap or KAPA HyperPETE) custom design.

1. Using a text editor or spreadsheet software (such as WordPad, Notepad, or Microsoft Excel), open the coverage_summary.txt file.
   Figure 1: Review the coverage summary

2. Refer to Appendix: Design Files for the definition of each field.

3. Review each field to ensure that the design meets the specifications for your KAPA Target Enrichment (KAPA HyperCap or KAPA HyperPETE) project.

4. Open the coverage.txt file. It is recommended that you view this file with a spreadsheet program, such as Microsoft Excel. Figure 2: Review the coverage details

This file displays region-by-region coverage information, with relevant details on why regions might not have full coverage. Review this file thoroughly to ensure that the design meets the specifications for your Target Enrichment project. To quickly identify regions with little or no coverage, sort the file by percent coverage. For a detailed list of column header descriptions, see Appendix: Design Files.

Step 2. Review the Design BED files
To review the design BED files, refer to the appropriate instructions for the software in use. The following uses UCSC Genome Browser as an example.

1. Save to your computer the primary_targets.bed, capture_targets.bed, and predicted_uncovered_targets.bed files provided in your design file deliverables.
2. Go to the UCSC Genome Browser home page at http://genome.ucsc.edu .
3. On the menu, click Genomes. The Genome Browser Gateway page opens.
4. Enter the species or common name, choose the genomic assembly or build, and click GO.
5. Click the add custom tracks button located in the middle of the buttons below the genome browser display.
6. To select and upload the BED file, on the Add Custom Tracks page, click Choose File and click Submit. The Manage Custom Tracks page manages all added custom tracks. If loading multiple tracks, edit the User Track name and description with a unique identifier before submitting another custom track/file to help visualize the data.
7. Click User Track to edit the custom track:
8. Change the configuration of existing tracks. Figure 3 shows an example of changing a track configuration using Edit configuration. Figure 3: Managing Custom Tracks in the UCSC Genome Browser
9. To add additional BED files, repeat steps 5 and 6.
10. Click the go button to view the custom track(s). Figure 4 illustrates an example design displayed in the UCSC Genome Browser. Note that the default tracks will be different from the view in Figure 4. Visibility of UCSC-provided tracks may be changed by right clicking the bars on the left side of the browser or from the track selections below the image and drop-down controls at the bottom of the page.
11. Review the design using the following UCSC Genome Browser functions:
    • Zoom: Click the zoom in and zoom out buttons to zoom in or out on the center of the annotation tracks window by 1.5-, 3-, or 10-fold.
    • Scroll: Click the move buttons to scroll to the left or right.
    • Display: To display a different position in the genome, in the position/search text box, enter the coordinates and click the jump button.
    • View base composition: Click the base button to view the base composition of the sequence underlying the current annotation track display. UCSC Genome Browser provides useful tracks to load including Mappability and RepeatMasker tracks. These can be used to diagnose regions uncovered due to repeats.
12. For additional details about the UCSC Genome Browser’s capabilities, click the Help link.

Step 3. Approve the Design

For custom designs made with the automated design tool:

• If satisfied with the design, click the Approve design button. For a design made using the automated design tool, an Internal Reference Number (IRN) will be assigned to the design upon approval. Provide the IRN to a Roche representative when placing an order for the design.
• To make further modifications, choose the Clone design option to keep the input regions and modify the design parameters to create a new design.
• For custom designs made working with expert designers:
• If satisfied with the design, you must provide written approval via email to the designer. The final design deliverables will appear under Your Designs after the purchase order of the probes is processed. Figure 5: Approving Design

For any questions, please contact Roche Technical Support (sequencing.roche.com/support.html).

Appendix: Design Files

File Formats for Regions of Interest
HyperDesign Tool allows you to type or paste design coordinates or gene names/identifiers, or import a design coordinate list or gene name/identifier file. The software allows three formats for specifying regions of interest:

• 1-column text file
  A text file with the information in 1 field: chromosome:start-stop

• 3-column text file
  A tab-delimited text file with 3 fields: chromosomestartstop.

• 4-column text file
  A tab-delimited text file with 4 fields: chromosomestartstopname. The fourth field can contain comments or a region name that will be carried through to the final enrichment design BED files. The contents of the fourth field will not affect the design.

Consolidated Regions

The BED file used as input for the probe/primer selection algorithm. The consolidated regions are obtained from either merging overlapping coordinates provided by the customer or from the coordinates obtained for the identifiers in the gene list.

• Capture
  The sequence matched by the probe/primer and captured during the KAPA HyperCap or KAPA HyperPETE Workflows. These often overhang the consolidated regions.

• Coverage
  The sequence of the consolidated regions both matched by the probe/primer and captured during the KAPA HyperCap Workflow or KAPA HyperPETE Workflow without including any overhang.

• Estimated Capture/Coverage
  The KAPA HyperCap or KAPA HyperPETE Workflows result in primers/probes reliably capturing up to 100 bp of sequences on either side of the probe/primer. In other words, the targeted sequence of the probe/primer and the 100 bp adjacent sequence are both to be captured. Estimated capture sequence is the captured sequence plus the 100 bp adjacent to the capture sequence. Estimated coverage is the coverage plus the lesser of either the end of the consolidated region or 100 bp adjacent to the coverage. The 100 bp capture padding was validated with Illumina paired-end sequencing, using a typical library size of ~200 bp. This number may not be accurate for libraries with larger or smaller insert sizes, or single end reads.

• Overhang
  The number of bases that a probe/primer might overhang the end of the specified target. For smaller targets, probes/primers may overhang the ends up to a maximum of 120 base pairs. For all other targets, an overhang of zero will restrict probe/primer placement to be within the targeted regions.

• capture_targets.bed
  Probe/primer coverage regions where each base is covered by at least one probe/primer. This is a tab-delimited coordinate file with no header, in BED format (http://genome.ucsc.edu/FAQ/FAQformat.html#format1), and suitable for viewing in various genome browsers.

• primary_targets.bed
  Customer requested regions of interest, with overlapping ranges consolidated – that overlap at least 1 bp with a probe/primer. This is a tab-delimited coordinate file with no header, in BED format
  (http://genome.ucsc.edu/FAQ/FAQformat.html#format1), and suitable for loading into various genome browsers. Note that any requested regions with no probes/primer selected against them will not appear in this file.

• predicted_no_coverage_regions.bed
  All positions from the regions.bed (regions of interest) that are not within 100 base pairs of any probe/primer. This is a tab-delimited coordinate file with no header, in BED format
  (http://genome.ucsc.edu/FAQ/FAQformat.html#format1), and suitable for loading into various genome browsers. If the estimated coverage of a design is 100%, this file will not be generated.

coverage_summary.txt

The global coverage properties of a KAPA Target Enrichment (KAPA HyperCap or KAPA HyperPETE) custom design. Use a text editor or spreadsheet software to open the tab-delimited text file. The following is a description of the fields included in the file.

GRCh38/hg38).
Number of regions| Number of regions after consolidation.
Length of consolidated regions| Sum total of all region sizes (in base pairs) after consolidation. The base pair length of the consolidated regions. Used as inputs in the probe/primer selection.
Probe/Primer_Coverage| Direct probe/primer coverage of consolidated regions.
Estimated_Coverage| Probe/primer coverage plus 100 bp of adjacent sequence to the probe/primer coverage or up to the end of the consolidated region. This number is not accurate for libraries with much larger or smaller insert sizes.
Target bases covered| Sum of all bases from the consolidated regions that are covered (in base pairs) by at least one probe/primer or by predicted captured sequence. Calculations for Probe/Primer_Coverage and Estimated_Coverage are provided.
Percent target bases covered| Percentage of all bases from the consolidated regions that are covered by one or more probes/primers. Calculations for Probe/Primer_Coverage and Estimated_Coverage are provided.
Targets with no coverage| Number of consolidated regions with no captured sequence. Calculations for Probe/Primer_Coverage and Estimated_Coverage are provided.
Target Bases Not Covered| Number of target bases in the consolidated regions that are not covered by any probe/primer. Calculations for Probe/Primer_Coverage and Estimated_Coverage are provided.
Target Bases Not Covered (due to N’s)| Number of target bases in the consolidated regions that are not covered by any probe/primer due to the source genome having N’s or ambiguous bases within the target range. Calculations for Probe/Primer_Coverage and Estimated_Coverage are provided.
Target Bases Not Covered (due to repeats)| Number of target bases from consolidated regions that are not covered by any capture due to the source genome having low complexity or highly repetitive DNA within the target range. Roche avoids selecting probes in regions of low complexity or high repeat content to reduce the chance of capturing off-target sequences. Calculations for Probe/Primer_Coverage and Estimated_Coverage are provided.
Percent Target Bases Not Covered| Percentage of target bases from the consolidated regions that are not covered by any probe/primer. Calculations for Probe/Primer_Coverage and Estimated_Coverage are provided.
Percent Target Bases

Not Covered (due to N’s)

| Percentage of target bases from consolidated regions that are not covered by any

probe/primer due to the source genome having N’s or ambiguous bases within the target range. Calculations for Probe/Primer_Coverage and Estimated_Coverage are provided.

Percent Target Bases Not Covered (due to repeats)| Percentage of target bases from consolidated regions that are not covered by any probe/primer due to the source genome having low complexity or highly repetitive DNA within the target range. Roche avoids selecting probes/primers in regions of low complexity or high repeat content to reduce the chance of capturing off- target sequences. Calculations for Probe/primer_Coverage and Estimated_Coverage are provided.
Total capture targets| Total number of regions in the capture target files. This may be different from the number of regions above. If the coverage of a target has a gap, it will be considered two regions rather than one. If two regions are close enough that probes/primers are selected across the gap of the two regions, it will be considered a single region.
Total capture space (bp)| Total number of bases covered by the capture targets. This can be very different from the primary target space, and provides an idea of the total amount of sequencing that will be needed for each sample. Use this size for categorization of panel capture target size in Chapter 5 of KAPA HyperCap Workflow v3.2 Instructions for Use.

coverage.txt
A tab-delimited text file displaying region-by-region coverage information of the consolidated input regions of interest. The headers are as follows.

file(s). If no 4th column was provided, then a default name of the selection region will be used instead. This name takes the format of CHROMOSOME:START- STOP.
CHROMOSOME| Target chromosome, or sequence identifier, for the region.
START| Region start coordinate.
STOP| Region stop coordinate.
LENGTH| Length of the region.
BASES_PROBE_COVERAGE / BASES_PRIMER_COVERAGE| Number of bases in the region that are directly covered by a capture probe/primer.
FRAC_PROBE_COVERAGE / FRAC_PRIMER_COVERAGE| Fraction of the region that is covered using direct coverage. A value 1.000 means that every base of the target is covered by one or more capture probes/primers. A value of 0.460 means that 46% of the region is covered by one or more capture probes/primers.
BASES_ESTIMATE_COVERAGE| Number of bases in the region directly covered by a probe/primer or by indirect/adjacent coverage. This is an estimate of the actual amount of sequence that may be captured by a capture probe/ primer, determined in empirical tests, reflecting that capture probes/primers may hybridize to the end of library insert and extend coverage away from the probe/primer. The 100 bp capture padding was validated with Illumina paired- end sequencing, using a typical library size of ~200 bp. This number may not be accurate for libraries with much larger or smaller insert sizes, or single end reads.
FRAC_ESTIMATED_COVERAGE| Fraction of the region that is covered including indirect/ adjacent coverage. A value 1.000 means that every base of the target is covered by one or more capture probes/primers. For example, a value 0.982 means that 98.2% of the target is covered directly or indirectly by one or more capture probes/primers.
PREDICTED_NO_COVERAGE_BASES| Number of bases in the region that are not likely to be captured.
BASES_W_NO_PROBE_COV / BASES_W_NO_PRIMER_COV| Number of bases in the region that are not directly covered by a probe/primer.
BASES_W_NO_PROBE_COV_DUE_TO_N  / BASES_W_NO_PRIMER_COV_DUE_TO_N| Number of bases in the region that are not covered directly by probes/primers due to the region containing ambiguous bases in the source. Roche cannot design probes/primers against sequences containing non-ACGT characters.
BASES_W_NO_PROBE_COV_DUE_TO_REPEATS /BASES_W_NO_PRIMER_COV_DUE_TO_REPEATS| Number of bases in the region that are not covered directly by probes/primers due to the region containing low complexity or highly repetitive sequence. Roche avoids selecting probes/ primers in regions of low complexity or high repeat content for the purposes of reducing off-target sequencing results.
BASES_W_NO_EST_COV| Number of bases in the region not directly or indirectly covered by a probe/primer.
BASES_W_NO_EST_COV_DUE_TO_N| Number of bases in the region that are not covered directly or indirectly due to the region containing ambiguous bases in the source.
Header| Description
---|---
BASES_W_NO_EST_COV_DUE_TO_REPEATS| Number of bases in the region that are not covered directly or indirectly due to the region containing repetitive sequence(s).

KAPA, HYPERCAP, KAPA HYPERPETE, HYPERCAPTURE, KAPA HYPERCHOICE, HYPERDESIGN, KAPA HYPEREXPLORE, KAPA HYPEREXOME, NIMBLEDESIGN, HEAT-SEQ and SEQCAP are trademarks of Roche. For Research Use Only. Not for use in diagnostic procedures.

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