The introduction of faster, cheaper, and more accurate DNA sequencing that makes genomics research more accessible is only the start of our technology arc. Relentless innovations to the core technology powering the Element AVITI™ System continue opening new, more direct paths to greater capabilities.
Spend less time resource planning and more time analyzing meaningful data. View our AGBT industry workshop and in-suite presentation videos and download our posters to learn how AVITI can drive your research forward.
Industry Workshop: ABC and AVITI—Opening a Gateway to the Next Evolution of Sequencing
Delve into the expansion of our core technology and hear from our Element leaders about new tools to power your scientific exploration. Learn how the latest innovations to avidity base chemistry (ABC) make AVITI even more powerful and more flexible, delivering integrated insights to your research.
In-Suite Presentations
Listen to a talk from Ivan Liachko, PhD, Founder and CEO of Phase Genomics, describing how ABC sequencing improves the quality of data from their innovative Oncoterra assay, which detects in one test complex chromosomal changes that would normally require multiple methods.
Francisco Garcia, PhD, SVP of Software & Informatics, shares updates on Elembio Cloud, our tool for run planning, run monitoring, and data management. Learn how Element facilitates fast, affordable, and flexible data analysis, either through Element Catalyst or through seamless integration with popular cloud computing including AWS, Seqera, DNANexus or your provider of choice.
VP of Informatics Semyon Kruglyak, PhD, explains how the forthcoming UltraQ Kit achieves QV50 sequencing quality by identifying sources of error in sequencing data beyond sequencing itself and devising innovative ways to address those sources at their root.
June Zhao, PhD, Sr. Director of Applications, reviews how new workflow and sequencing options, Cloudbreak Freestyle and Expert Mode HD, further simplify the AVITI workflow while providing customers with even greater flexibility, no matter the application.
Sinan Arslan, PhD, the Element project lead for AVITI24, dives into the profoundly novel capabilities of the forthcoming system. The ability to detect cell morphology DNA, RNA, proteins, and phosphorylation state in single cells will provide scientists with comprehensive insights into complete biological pathways in a single assay. Following Sinan, Dayu Teng, PhD, Co-Director of the Whitaker Institute for Biomedical Engineering at UCSD, shows the use of AVITI24 to cytoprofile endothelial cells in in vitro models of aneurism.
AVITI Posters
The New Teton™ Chemistry on AVITI Enables High Content Cellular Profiling and Cell Morphology Analysis
Currently, researchers who need sensitive, reliable information about RNA/protein expression, localization, and cell morphology at the subcellular level need to use multiple assays and often multiple instruments. Here we present an advancement in the Element Biosciences AVITI sequencing platform that allows researchers to collapse multiomics data collection into a single assay using avidity based chemistry (ABC).
On-Flow Cell Weighted Low Pass Genome Sequencing Simplifies the Workflow and Accelerates Breeding Programs in Agriculture
Low pass genome sequencing along with genotype imputation has been shown as a cost-effective alternative to genotyping arrays for trait mapping in the agriculture field. While research has shown the feasibility of driving down the sequencing depth to 1x or 0.5x, coverage uniformity throughout the genome and low coverage of important trait sites usually makes it challenging to increase sample numbers in each sequencing run to further drive down sequencing depth. To resolve this, additional target capture library preparations to enrich the interest sites can provide valuable information when combined with low pass sequencing. However, these additional library preparation processes are usually costly and complex. Recently, we explored the application of a probe-specific flow cell to enable low pass sequencing and selected enrichment simultaneously, using a standard whole genome sequencing library.
Sensitive Analysis of Clinically Actionable Genomic Regions with an Integrated Target Enrichment and Sequencing Workflow
Over the last 15 years, hybridization-based approaches to enrich genomic regions of interest have enabled efficient and sensitive sequencing methods. From sequencing the exome for disease variant discovery to targeting small numbers of genes at high depth in somatic applications, many options exist for translational and clinical analysis. As sequencing has become less expensive, unbiased approaches like genome-wide sequencing have become common in precision health applications. Although genomes have high value and high impact, there are many applications that benefit from targeted enrichment approaches to increase sensitivity in challenging regions of the genome or to improve sensitivity to low-frequency variants, particularly in somatic applications. A significant challenge to targeted workflows is the additional technical burden and time of the hybridization workflow. These steps add several hours to a day to experimental workflows and can be challenging to automate. To address these challenges and create a highly efficient and dynamic workflow, we have created an integrated, on-flowcell target enrichment capability integrated into the standard sequencing workflow on the Element AVITI platform. This workflow leverages unique surface chemistry and does not add time or steps to the sequencing process. It also does not require any library preparation modifications. A single library preparation workflow can be used with a wide variety of target enrichment experiments. We demonstrate efficient target enrichment over regions of interest in oncology and exome.
Q50 Data on AVITI: Characterizing and Addressing Error Modes to Improve Sequencing Accuracy
The accuracy of a sequencing platform has traditionally been measured by the %Q30, or percentage of data exceeding a basecall accuracy of 99.9%. Improvements to accuracy beyond Q30 may be beneficial for certain applications such as the identification of low frequency alleles or the improvement of reference genomes. Here we demonstrate how we achieved over 70% Q50 (99.999% accuracy) data on the AVITI sequencer. This level of accuracy required us to not only improve sequencing quality but also to mitigate library preparation errors and analysis artifacts.