iGeneTech Bioscience Co., Ltd.
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TargetSeq® Solid Tumor Mid Panel

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Overview
Performance
Ordering Info
Resources
Articles

Overview

TargetSeq® Solid Tumor Mid Panel covers 122 gene coding regions related to solid tumors, 10 hotspot fusion gene intron regions, 19 classic microsatellite sites, and 219 chemotherapy-related sites.

NCC-Panel

Product Parameter

Panel Number

T1288V1

Technical Platform
TargetSeq® Hybridization Capture Sequencing
Coverage Size

438.3 kb

Reference Database
RefSeq
Reference Genome
GRCh37 (hg19)
Coverage

CDS region of 122 genes, 10 hotspot fusion gene intron regions, 19 MSI and 219 chemotherapy-related sites.

Storage

-20℃±5℃

Sequence Platform
Illumina / MGI
Recommend Sequencing Read Length
PE150
Recommend Sequencing Data Size and Depth

1.5Gb/1,000X


Advantages

  • Extraordinary panel performance in coverage rate, capture rate and uniformity.

  • Proven sensitivity, specificity and reproducibility.

Performance

Performance

During an FDA-lead cross-platform multi-lab evaluation of eight Pan-Cancer panels, iGeneTech's TargetSeq® NCC Panel outperformed in sensitivity, specificity and reproducibility.


  • High sensitivity: >97% sensitivity at VAF of 1-2.5% and 100% sensitivity at VAF >2.5%

  • High specificity: 1/Mb false positive rate at VAF >5% and no false positive mutations detected at VAF >10%

  • High reproducibility: high reproducibility in cross-lab and intra-lab tests.


Performance
Learn more about TargetSeq® Solid Tumor Mid Panel

Ordering Info

TargetSeq® Solid Tumor Mid Panel
Product NamePanel NumberSetCat. No

TargetSeq® Solid Tumor Mid Panel

T1288V1

16 rxn

PH2002101

96 rxn

PH2002102


Resources

Demo DataSet
  • TargetSeq® Solid Tumor Mid Panel (T1288V1) demo data
    TargetSeq® Solid Tumor Mid Panel (T1288V1) demo data
bed File
  • TargetSeq® Solid Tumor Mid Panel (T1288V1) bed file
    TargetSeq® Solid Tumor Mid Panel (T1288V1) bed file

Articles

Binsheng Gong; Dan Li; Rebecca Kusko; Natalia Novoradovskaya; Yifan Zhang; Shangzi Wang; Carlos Pabón-Peña; Zhihong Zhang; Kevin Lai; Wanshi Cai; Jennifer S. LoCoco; Eric Lader; Todd A. Richmond; Vinay K. Mittal; Liang-Chun Liu; Donald J. Johann; James C. Willey; Pierre R. Bushel; Ying Yu; Chang Xu; Guangchun Chen; Daniel Burgess; Simon Cawley; Kristina Giorda; Nathan Haseley; Fujun Qiu; Katherine Wilkins; Hanane Arib; Claire Attwooll; Kevin Babson; Longlong Bao; Wenjun Bao; Anne Bergstrom Lucas; Hunter Best; Ambica Bhandari; Halil Bisgin; James Blackburn; Thomas M. Blomquist; Lisa Boardman; Blake Burgher; Daniel J. Butler; Chia-Jung Chang; Alka Chaubey; Tao Chen; Marco Chierici; Christopher R. Chin; Devin Close; Jeffrey Conroy; Jessica Cooley Coleman; Daniel J. Craig; Erin Crawford; Angela del Pozo; Ira W. Deveson; Daniel Duncan; Agda Karina Eterovic; Xiaohui Fan; Jonathan Foox; Cesare Furlanello; Abhisek Ghosal; Sean Glenn; Meijian Guan; Christine Haag; Xinyi Hang; Scott Happe; Britt
Genome Biology 2021;22(1):109 DOI:10.1186/s13059-021-02315-0
Binsheng Gong; Rebecca Kusko; Wendell Jones; Weida Tong; Joshua Xu
Scientific Data 2022;9(1):288 DOI:10.1038/s41597-022-01359-6