HistoGenetics Selects PacBio(R) DNA Sequencing Platform to Enhance Human Leukocyte Antigen (HLA) Typing
Tuesday, April 29, 2014
Comprehensive characterization of an individual’s HLA type is important for research in tissue transplantation matching, autoimmune disease-association studies, drug hypersensitivity research, and other applications. The HLA genes are highly polymorphic, containing thousands of alleles that code for proteins that are important for recognizing foreign antigens. Accurate phasing of HLA polymorphisms using
“As a leader in the HLA typing market, we aggressively seek out technologies that can accurately analyze this complex region of the genome. With its industry-leading read lengths, accuracy, and fast turnaround time, PacBio’s sequencing platform is exactly what this market needs,” said Dr.
HistoGenetics (www.histogenetics.com) is the global leader in HLA sequence-based typing (SBT). As a pioneer the field, the company has provided its services for donor registries, donor centers, cord blood banks, transplant centers, HLA laboratories and pharmacogenomics applications. To date, HistoGenetics has performed more than 14 million SBTs and discovered 19,000 samples carrying new alleles. The company was founded by Dr.
About the PacBio RS II and SMRT® Sequencing
Pacific Biosciences’ Single Molecule, Real-Time (SMRT) Sequencing technology achieves the industry’s longest read lengths, highest consensus accuracy i, iiand the least degree of bias.iii These characteristics, combined with the ability to detect many types of DNA base modifications (e.g., methylation) as part of the sequencing process, make the PacBio RS II an essential tool for many scientists studying genetic and genomic variation. The PacBio platform provides a sequencing solution that can address a growing number of complex medical, agricultural and industrial problems.
About Pacific Biosciences
i Koren et al., “Reducing assembly complexity of microbial genomes with single-molecule sequencing.” Genome Biology, 14:R10.1 (2013).
ii Chin et al., “Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data.” Nature Methods, 10; 563-569 (2013).
iii Ross et al. Characterizing and measuring bias in sequence data. Genome Biol 14: R51 (2013).
Nicole LitchfieldFor Pacific Biosciences 415.793.6468 firstname.lastname@example.org Investors: Trevin RardPacific Biosciences 650.521.8450 email@example.com
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