Démystifier les solutions de séquençage d’ADN de bout en bout

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Présenté par
Jonathan J. Keats, PhD
Jonathan J. Keats, PhD
Directeur du Bioinformatics and Collaborative Sequencing Center, Translational Genomics Research Institute (TGen)
RECORDED AT AMP 2022

Abordés dans ce webinaire
Les outils de diagnostic actuels ont besoin de flux de travail évolutifs pour la préparation de banque et l’enrichissement ciblé afin d’améliorer la détection des biomarqueurs.
Le séquençage ciblé est une approche rentable permettant d’identifier les allèles peu abondants pour le diagnostic du cancer.
Le flux de travail de capture de méthylation de Twist peut stimuler vos efforts pour identifier les signatures génomiques des biomarqueurs épigénétiques.

With the rapid growth and availability of next-generation sequencing has come the need for efficient target enrichment solutions across multiple applications.  Targeted sequencing maximizes testing resources by selectively narrowing sequencing output to only your regions of interest, enabling increased depth per sample and limiting cost.  As we move into the genomics era, flexible and scalable library preparation and target enrichment workflows are critical to meet the expanding diagnostic landscape. Twist continues to provide innovative NGS solutions to empower researchers; from assay development tools such as our cfDNA Pan-Cancer Reference Standards to rare variant allele detection with our Unique Molecular Identifiers (UMI).  Comprehensive identification and study of methylation biomarkers can be performed with Twist’s highly efficient methylation capture workflow.  In order to support the growing clinically relevant variants for developing NGS-based assays, Twist MRD Twist MRD Rapid 500 Panels provide researchers with customized NGS tests in as little as six business days.  

 

In this workshop from AMP 2022, Shawn Gorda, Senior Staff Product Manager at Twist Biosciences, showcases Twist’s diverse selection of target enrichment and library preparation pipelines for NGS. He is then joined by Jonathan Keats, Assistant Professor in the Integrated Cancer Genomics Division at the Translational Genomics Research Institute (TGen), who will demonstrate how he used Twist’s UMIs and Library Preparation EF 2.0 to identify novel genetic biomarkers in multiple myeloma patients.

 

Réservé à l’utilisation dans le cadre de la recherche. Non destiné à être utilisé dans des procédures de diagnostic.

 

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