We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement

PacBio and the University of Tokyo Announce Bioinformatics Applications Collaboration

The PacBio logo
Listen with
Speechify
0:00
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: 1 minute

PacBio (NASDAQ: PACB) has announced a collaboration with the University of Tokyo, Graduate School of Medicine to study the use of long-read sequencing and novel bioinformatics methods in the hopes of better understanding the genetic causes of certain rare diseases in individuals and cohorts within the Japanese population.


"Through this collaboration with the University of Tokyo, we plan on developing and applying new methods in the hopes of identifying genetic mutations of many diseases impacting the Japanese population," said Michael Eberle, Vice President of Computational Biology at PacBio. "This will help improve our understanding of difficult genetic regions and variants that we hope will benefit the Japanese population."


High-throughput bioinformatics software applications that are optimized for PacBio HiFi long-read sequencing data, such as the Tandem Repeat Genotyping Tool (TRGT), are designed to enable researchers in Japan and the international community to more effectively uncover disease-associated variants, including structural variants such as tandem repeats.


PacBio has worked with University of Tokyo researchers for years and has assisted their work around sequencing hundreds of human genomes and structural variants associated with neurological disorders and leukemia (some of this research was published in Nature Genetics in 2018 and 2019 and in Oxford Bioinformatics in 2016).


"Collaborating with PacBio in applying advanced bioinformatics workflows should accelerate our in-progress work characterizing structural variants and making these findings more accessible to the broader scientific community. We believe this collaboration will complement our previous work and help us identify many more disease-causing structural variations in the human genome," said Dr. Shoji Tsuji, a senior investigator for the University of Tokyo Hospital, Department of Neurology.