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Whole Genome Sequencing (WGS) Library Prep Kits

Whole genome sequencing enables comprehensive analysis of genetic variation across the entire genome. By capturing coding and non-coding regions, WGS provides a base-by-base view of genetic material and supports detection of single nucleotide variants, insertions and deletions, copy number changes, and structural variation. Revvity offers flexible WGS library preparation solutions for a range of sample types, input amounts, fragmentation strategies, and throughput needs.

Need help choosing a WGS library prep workflow?

Our experts can help you match your sequencing goals, sample type, input amount, and fragmentation strategy to the right Revvity solution.
 

Find the right WGS library prep solution
 

Application or workflow need Fragmentation approach Revvity solution
Library prep for cell-free DNA No additional fragmentation required NEXTFLEX™ Cell-free DNA-Seq Kit 2.0
Library prep for mechanically fragmented genomic DNA Mechanical fragmentation NEXTFLEX™ Rapid DNA-Seq Kit 2.0
Library prep with integrated enzymatic fragmentation Enzymatic fragmentation NEXTFLEX™ Rapid XP V2 DNA-Seq Kit
Shotgun metagenomic sequencing of microbial communities Enzymatic fragmentation / integrated workflow NEXTFLEX™ Rapid XP V2 DNA-Seq Kit for Metagenomics
Low-pass WGS for high-throughput agrigenomics Enzymatic fragmentation NEXTFLEX™ HT Agrigenomics Low-Pass WGS Kit


Need indexing support for your WGS workflow?

Explore NEXTFLEX™ adapters and barcodes, including UDI and UDI-UMI options, to support sample multiplexing and scalable sequencing.
 


Looking for 16S rRNA amplicon sequencing?

For targeted microbial community profiling by 16S rRNA gene region, explore Revvity’s 16S rRNA library prep kits.
 


Main applications for whole genome sequencing

Whole genome sequencing is used when research requires broad, genome-wide analysis of genetic variation, genome structure, or microbial community composition. Because WGS captures coding and non-coding regions, it supports comprehensive variant detection across diverse sample types, including genomic DNA, cell-free DNA, microbial DNA, and complex mixed samples.

Rare disease and inherited disorder research

Whole genome sequencing provides a comprehensive approach for identifying genetic variants associated with rare and inherited conditions. By covering both coding and non-coding regions, WGS can help uncover variants that may be missed by targeted sequencing or exome sequencing approaches.

Cancer genomics and somatic variation

WGS supports genome-wide analysis of somatic variation across tumor samples, including single nucleotide variants, insertions and deletions, copy number changes, and structural variants. This enables deeper research into tumor heterogeneity, clonal evolution, and mechanisms of disease progression.

Agrigenomics and low-pass WGS

Low-pass whole genome sequencing enables cost-effective, genome-wide analysis across large numbers of plant or animal samples. This approach supports agrigenomics research applications such as genotyping, population screening, trait association studies, selective breeding research, and genetic diversity analysis.

Population genomics and evolutionary biology

Genome-wide sequencing data supports the study of genetic diversity, population structure, and evolutionary relationships across individuals, populations, or species. WGS can be used to investigate selection, adaptation, lineage history, and broader patterns of genomic variation.

Shotgun metagenomics and complex samples

Shotgun metagenomic WGS can be used to profile the full genetic content of mixed or environmental samples. Unlike targeted amplicon sequencing, shotgun metagenomics supports both taxonomic and functional analysis of microbial communities without relying on amplification of a single marker gene.

For research use only. Not for use in diagnostic procedures.

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WGS library preparation solutions 

Your whole genome sequencing hub

Explore WGS library preparation solutions for a range of sample types, input amounts, fragmentation strategies, and throughput needs, including genomic DNA, cell-free DNA, shotgun metagenomics, and high-throughput low-pass WGS.

Genomic DNA WGS library prep

Genomic DNA WGS library preparation converts DNA into sequencing-ready libraries while preserving genome-wide representation. Depending on the workflow, genomic DNA may be mechanically fragmented before library prep or fragmented enzymatically as part of an integrated workflow.

These workflows support flexible WGS library construction for researchers working with genomic DNA inputs, different fragmentation strategies, and varying throughput requirements.

Cell-free DNA WGS library prep

Cell-free DNA WGS library preparation is designed for fragmented, low-input DNA samples that do not require additional mechanical or enzymatic fragmentation. Because cfDNA is already highly fragmented, library prep workflows must support efficient conversion of short DNA fragments into sequencing-ready libraries.

This workflow supports WGS applications where input amount, fragment recovery, and library complexity are important considerations.

Shotgun metagenomic WGS

Shotgun metagenomic WGS enables analysis of microbial communities by sequencing the full genetic content of complex or mixed samples. Unlike targeted 16S rRNA amplicon sequencing, shotgun metagenomics can support both taxonomic profiling and functional analysis.

This workflow can combine enzymatic library preparation with analysis support to help streamline shotgun metagenomic sequencing.

Low-pass WGS for agrigenomics

Low-pass WGS enables cost-effective genome-wide analysis across large numbers of plant or animal samples. By sequencing at lower coverage across the genome, this approach helps make genome-wide screening more scalable across high-sample-volume studies.

This workflow is designed to support scalable low-pass sequencing for agricultural and population-level research.

FAQs

  • How do I choose the right WGS library prep kit?

    The right WGS library prep kit depends on your sample type, DNA input amount, fragmentation strategy, throughput needs, and sequencing application. For example, cell-free DNA workflows require a different approach than mechanically fragmented genomic DNA, enzymatic fragmentation workflows, shotgun metagenomic WGS, or high-throughput low-pass WGS.

  • What is the difference between mechanical and enzymatic fragmentation for WGS library prep?

    Mechanical fragmentation physically shears genomic DNA before library preparation, giving researchers a separate fragmentation step that can be optimized before end repair, adapter ligation, and amplification. Enzymatic fragmentation uses enzymes to fragment DNA as part of the library prep workflow, which can simplify setup, reduce equipment needs, and support scalable WGS library preparation.

  • Does cell-free DNA require fragmentation before WGS library prep?

    No. Cell-free DNA is already present as short fragments, often enriched around mononucleosome-sized lengths, so additional mechanical or enzymatic fragmentation is not required. Cell-free DNA library prep workflows are designed to efficiently convert low-input fragmented DNA into sequencing-ready libraries while preserving library complexity.

  • When should I consider low-pass WGS?

    Low-pass WGS is useful when researchers need genome-wide information across large numbers of samples at lower sequencing depth. It is commonly used in agrigenomics and population-scale studies where scalable genotyping, imputation-based analysis, trait association research, or genetic diversity analysis are important.

  • Is shotgun metagenomic WGS the same as 16S rRNA sequencing?

    No. Shotgun metagenomic WGS sequences genetic material across complex microbial communities, supporting both taxonomic and functional analysis. 16S rRNA sequencing is a targeted amplicon approach that profiles microbial communities using regions of the 16S rRNA gene. The best choice depends on the level of resolution and type of information needed.

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