ResourceLife Sciences
Current Standard Protocols for the Illumina Genome Analyzer Sequencing Platform Employ Laborious, Costly, and Unreliable Methods for Quantifying DNA Libraries
22 Dec 2014Next-generation sequencing (NGS) workflows continue to evolve at an unrelenting pace, driven by users striving for greater reliability, throughput, and efficiency. This case study states that the standard methods for quantifying Illumina GA DNA libraries have a number of important disadvantages. Implementation of the KAPA Library Quantification Kit in sequencing workflows resulted in a significant reduction in variability across multiple libraries.
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Clinical GeneticsMolecular Genetics covers the analysis of hereditary genetic disease and chromosomal abnormalities. Genetics can be analysed using DNA, RNA, and protein microarrays, PCR, RT PCR and DNA sequencing. Genetic equipment includes genetic workstations, thermal cyclers, cooling blocks and electrophoresis products. Diagnostic kits are used for DNA / RNA extraction and purification.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.Clinical NGSNext Generation Sequencing (NGS) refers to the use of massive parallel sequencing of multiple small fragments of DNA. This high-throughput genomic analysis yields enormous amounts of sequence data, which if appropriately analyzed could have huge potential for clinical laboratories. For this to happen there are technique and bioinformatic hurdles to be overcome.