Výsledky vyhledávání - "Nicole Roseman"

Abstract 263: Automating next generation sequencing workflows for custom hyb panels: high quality library preparation and target enrichment on the Biomek NGeniuS System

Autor: Nicole Roseman, Laura Tucker, Francesco Criscuolo, Lynette Lewis, Li Liu, Tyler Buit, Jasmeen Mandair, Zachary Smith, Calvin Cortes

Publikováno v: Cancer Research. 83:263-263

This study investigates a custom 2Mb xGen Hyb panel designed against mutated gene targets implicated in several cancers using an end-to-end assay workflow on the Biomek NGeniuS platform. Automation in laboratories is advantageous to generate reproduc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cfd0c750a96dc2986e8a19a6f2fd95a9
https://doi.org/10.1158/1538-7445.am2023-263

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Abstract 1349: Improved human exome sequencing workflow with the most complete coverage

Autor: Xiaohui Wang, Ekaterina Star, Kevin Lai, Alexandra Wang, Yu Wang, Manqing Hong, Bosun Min, Timothy Rusch, Longhui Ren, Patrick J. Lau, Jinglie Zhou, Kristina Giorda, Nick Downey, Nicole Roseman, Steven Henck, Krishnalekha Datta, Lynette Lewis, Steve Groenewold

Publikováno v: Cancer Research. 80:1349-1349

Consisting of only ~2% of the human genome, the exome accounts for ~85% of genetic disorders. Efficient sequencing of the human exome with complete and high coverage depth at low cost is invaluable for furthering research in clinical applications. ID

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1bdfaa5d8c42366b8689dbb483c9d7b7
https://doi.org/10.1158/1538-7445.am2020-1349

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Abstract 5863: Improved conversion in extraction, library construction, and capture improve sensitivity for variants in liquid biopsy samples

Autor: Jessica Sheu, Nicole Roseman, Timothy Barnes, Hsiao-Yun Huang, Ushati Das Chakravarty, Tzu-Chun Chen, Shilpa Parakh, Amy Yoder, Alisa Jackson, Anastasia Potts, Lyn Lewis, Kevin Lai

Publikováno v: Cancer Research. 80:5863-5863

Demonstrate performance of a complete automation and reagent workflow for analysis of cfDNA from bodily fluids. The efficient extraction of cfDNA from bodily fluids is a unique challenge due to the very low concentrations of nucleic acid. The extract

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f1eb246cd3849ef755a8419ea6630df
https://doi.org/10.1158/1538-7445.am2020-5863

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