12 May, 2021

Scaling

Our CAP-accredited, CLIA-certified laboratory operates 7 days a week and is one of the largest sequencing centers in the U.S. today with a capacity to sequence >100,000 human whole genome/exome scale samples per year. Our lab boasts the latest in technology to ensure high quality data delivery and rapid timelines, including: [...]

28 Aug, 2020

Unlock the power of DNA

Powered by our ACE Technology, our DNA Assays provide more uniform coverage at high depths than standard assays. Specifically, our ACE-enabled assays outperform conventional exome assays by enhances coverage across coding regions and supplementing more complex areas in the genomic architecture such as GC-rich content. The Personalis solution  provides targeted sequencing to augment coverage gaps [...]

28 Aug, 2020

Better NGS data starts with better processes

Our patented ACE™ (Accuracy and Content Enhanced) Technology is the foundation of ImmunoID NeXT and all proprietary Personalis products. ACE improves processes from nucleic acid preparation, to sequencing, to analytics for superior sequencing results. Nucleic Acid Extraction and Sample Preparation Personalis has developed protocols to overcome the challenges of working with difficult samples including FFPE, [...]

26 Aug, 2020

SHERPA™: Systematic HLA Epitope Ranking Pan Algorithm

HLA binding is currently the most well-established criteria for ranking neoantigen candidates. Recent advances in training data generated from mass spectrometry provide a larger dataset of peptide binders and non-binders for individual HLA alleles. This new binding data takes two important additional components into consideration: cleavage and transportation, which are critically important for presentation assessment. [...]

26 Aug, 2020

Neoantigen Discovery

NeoantigenID Technologies for neoantigen discovery are critical for the development of personalized cancer therapies and neoantigen-based biomarkers. Precision neoantigen discovery entails comprehensive detection of tumor-specific genomic variants and accurate prediction of MHC presentation of epitopes originating from such variants. Our ImmunoID NeXT Platform® enables a comprehensive survey of putative neoantigens by combining highly sensitive exome- [...]

31 Oct, 2019

Response

While understanding the reasons why certain patients are resistant to oncology therapies is important, it is even more critical to ensure that they are administered only to patients who are expected to respond. Therefore, the identification and use molecular markers that are predictive of response is imperative in bringing the curative potential of immuno-oncology [...]

5 Oct, 2017

Neoantigen Discovery

We use machine learning and neural networks to provide you with advanced analytics to better inform your discovery and translational research programs. Leveraging our enhanced exome and transcriptome, we’ve applied these assays for deeper bioinformatics analysis to accurately predict neoantigens.  Using neoantigens as a predictor for determining likelihood of response to immunotherapies is one exciting [...]

5 Oct, 2017

Better RNA, Even from Challenging Samples

Many clinical studies depend on tissue archives that have been fixed using FFPE procedures. This preservation process makes it difficult to obtain a pure sample and often leads to RNA degradation. To overcome this challenge, Personalis has developed an exome-capture transcriptome protocol based on our ACE Technology that allows us to produce high-quality transcriptome sequencing [...]

5 Oct, 2017

Advancing the accuracy of MHC binding prediction

HLA binding is currently the most well-established criteria for ranking neoantigen candidates. Recent advances in training data generated from mass spectrometry, provide a larger dataset of peptide binders and non-binders for individual HLA alleles. This new binding data takes two important additional components into consideration: cleavage and transportation, which are critically important for presentation assessment. We leverage [...]

5 Oct, 2017

Immunogenomics Engine

We use machine learning and neural networks to provide you with advanced analytics to better inform your discovery and translational research programs. ImmunogenomicsID guides the investigation of critical immuno-oncology genes with information including expression, variant effect impact, and DNA/RNA allelic fractions.  Unlike targeted therapies, there tends to be general agreement that it is unlikely that [...]

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