Approaching Single-Cell Sequencing by Understanding NGS Library Complexity and Bias

3 Dec 2014

This application note describes the sequence coverage performance and preservation of molecular complexity of next generation sequencing (NGS) libraries generated from human and microbial genomic DNA using the Accel-NGS™ 2S DNA Library Kit for whole-genome sequencing on the Illumina® platform. Comparisons to the leading commercially available methods are also presented. From the lowest input DNA quantity supported for PCR-free libraries, this new technology demonstrated more than 50% higher library complexity.

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Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Next Generation SequencingNext-generation sequencing (NGS), also known as whole-genome sequencing, high-throughput sequencing and massive parallel sequencing, produces and analyses thousands to millions of nucleotide sequences at once. Sequencing systems operate via varying technologies depending on the manufacturer, including sequencing by synthesis, ligation, pyrosequencing, ion semiconductor and single-molecule real-time sequencing. For NGS, library preparation is paramount to successful sequencing. In this section, explore a range of library preparation kits, from targeted, amplicon-based or hybridization-based kits including epigenomic, transcriptomic and genomic workflows to fragmentation kits. Find the best next-generation sequencing products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Library GenerationLibrary generation refers to the construction of NGS libraries from RNA and DNA sources.Single Cell Genomics
Approaching Single-Cell Sequencing by Understanding NGS Library Complexity and Bias