2012•Chemical CommunicationsRequires access

Pyrosequencing-based barcodes for a dye-free multiplex bioassay

Zhiyao Chen, Xiaoying Fu, Xiaodan Zhang, Xiqun Liu, Bingjie Zou, Haiping Wu, Qinxin Song, Jin‐Heng Li, Tomoharu Kajiyama, Hideki Kambara, Guohua Zhou

Open publisher page 13 citations

Abstract

A novel dye-free labeling method for a multiplex bioassay was proposed by using short sequence-based barcodes consisting of a reporter base and repeats of two stuffer bases; then, the barcodes were quantitatively decoded by a single pyrosequencing assay without any pre-separation.

About this research paper

What this paper is about

A novel dye-free labeling method for a multiplex bioassay was proposed by using short sequence-based barcodes consisting of a reporter base and repeats of two stuffer bases; then, the barcodes were quantitatively decoded by a single pyrosequencing assay without any pre-separation.

Why it matters

OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A novel dye-free labeling method for a multiplex bioassay was proposed by using short sequence-based barcodes consisting of a reporter base and repeats of two stuffer bases; then, the barcodes were quantitatively decoded by a single pyrosequencing assay without any pre-separation.

Key concepts: Pyrosequencing, Multiplex, Bioassay, Computational biology, Biology, Chromatography, Chemistry, Genetics

Related papers

Back to paper searchBrowse research topicsOriginal source
Pyrosequencing-based barcodes for a dye-free multiplex bioassay — Research Paper | ScholarLens