Know More About Your AAV Gene Therapy Products, Faster
Easily assess the quality of bioreactor runs to gain a deeper understanding of product contents, quality and potential risks.
Easily assess the quality of bioreactor runs to gain a deeper understanding of product contents, quality and potential risks.
Examine sequence alignment, across complete sequences or specific regions including promoters and CDS, by comparing them with reference genome-matched reads to identify the presence of contaminating sequences within packaged capsids.
Form Bio’s all in one computational platform and expertise seamlessly integrate with HiFi sequencing instruments and data to provide valuable insights for your team and CDMO, to enable fine tuning during process scale-up.
Identify both known impurities and any unknown or unexpected side products in the process by quantifying sequence variants from deletions, insertions or mismatches between the reference and sample sequence.
Validate the encapsidation of anticipated AAV construct sequences by aligning them with host genome-matched reads. This process also serves to identify any contaminating sequences present within the capsids.
Is my process resulting in unknown side products and host-related impurities?
What is the quantity of the variants being produced from deletion, insertion or mismatch?
What is the distribution of total and
encapsidated species in my bioreactor?
How confident am I in my process method, and are there any blind spots I might not be aware of?
What is the sequence alignment to
reference genome of the produced DNA?
Assess quality and identify unknowns from bioreactor runs
Examine sequence alignment and analyze variants
Seamless end-to-end experience for HiFi sequencing
Fully understand constructs with automated AAV characterization reporting
Predict manufacturing results relating to truncations and other issues
Compare an array of constructs with different design characteristics to find the most promising versions
Enhance constructs to generate de novo designs with the best predicted yield, efficacy and safety characteristics