Digital Genome technique.
New
ordering engineering technologies square measure presently revolutionizing
science, with impact in fields like exactitude health, nosology, and
biosecurity. but there square measure several challenges that require to be
overcome before their full potential are often used. Specifically, the natural
genetic variations among people will bring about considerably altered
off-target risk profiles, the distinct body substance environments of various
tissues will dramatically influence the potency of targeted potency, and also
the complexness of genetic pathways create selecting associate intervention
purpose quite tough. Digital ordering engineering, the applying of machine
learning and modeling approaches to those systems, will facilitate address
these challenges. we tend to square measure able to model and predict the
effectiveness of a piece of writing approaches supported target website
sequence likewise because the enlarged body substance sequence, giving
tissue-specific predictions. in addition, we've got developed pipelines that
incorporate a private or a population’s genetic variance to spot their specific
risk profile. Finally, we tend to square measure developing ways for the
detection of artificial ordering manipulation, providing a technique for the watching
of genomes within the biosecurity house. We square measure applying our
technologies during a variety of specific application cases, as well as
developing advanced illness model systems, immuno-engineering (the craft of
associate individual’s system to fight specific applications), and gene-therapy
treatments to correct illness inflicting mutations.
By applying digital ordering engineering
techniques, we are going to facilitate to change exactitude health
applications. These embody craft immune systems to fight infections illnesses
(through immuno-engineering) or correct disease inflicting mutations through
gene-therapy applications.
Our
Solutions
GT-Scan: versatile and high-throughput
analysis of off-targets
GT-Scan2:
body substance aware prediction of CRISPR-Cas9 on-target potency
TUSCAN:
high-throughput, sequence-based mostly prediction of CRISPR-Cas9 on-target
potency
CUNE:
Sequence-based mostly prediction of HDR mediate knock-in potency
VARSCOT:
Variant aware off-target prediction and analysis
GOANA:
high-throughput, generalizable mensuration of on-target potency for ordering a
piece of writing applications