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Pyrosequencing

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Cover of 'Pyrosequencing'

Table of Contents

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    Book Overview
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    Chapter 1 The History of Pyrosequencing ®
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    Chapter 2 PyroMark(®) Instruments, Chemistry, and Software for Pyrosequencing(®) Analysis.
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    Chapter 3 Software-Based Pyrogram ® Evaluation
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    Chapter 4 Quantitative Validation and Quality Control of Pyrosequencing ® Assays
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    Chapter 5 Extended KRAS and NRAS Mutation Profiling by Pyrosequencing ®
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    Chapter 6 Universal BRAF State Detection by the Pyrosequencing ® -Based U-BRAF V600 Assay
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    Chapter 7 Pyrosequencing
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    Chapter 8 Analysis of Mutational Hotspots in Routinely Processed Bone Marrow Trephines by Pyrosequencing ®
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    Chapter 9 Analysis of Copy Number Variation by Pyrosequencing(®) Using Paralogous Sequences.
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    Chapter 10 Prenatal Diagnosis of Chromosomal Aneuploidies by Quantitative Pyrosequencing(®).
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    Chapter 11 HLA-B and HLA-C Supratyping by Pyrosequencing ®
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    Chapter 12 Allele Quantification Pyrosequencing(®) at Designated SNP Sites to Detect Allelic Expression Imbalance and Loss-of-Heterozygosity.
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    Chapter 13 Quantitative DNA Methylation Analysis by Pyrosequencing(®).
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    Chapter 14 Quantitative Methylation Analysis of the PCDHB Gene Cluster.
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    Chapter 15 Assessment of Changes in Global DNA Methylation Levels by Pyrosequencing(®) of Repetitive Elements.
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    Chapter 16 Global Analysis of DNA 5-Methylcytosine Using the Luminometric Methylation Assay, LUMA.
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    Chapter 17 Limiting Dilution Bisulfite Pyrosequencing(®): A Method for Methylation Analysis of Individual DNA Molecules in a Single or a Few Cells.
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    Chapter 18 Detection of Loss of Imprinting by Pyrosequencing(®).
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    Chapter 19 Analysis of DNA Methylation Patterns in Single Blastocysts by Pyrosequencing(®).
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    Chapter 20 Allele-Specific DNA Methylation Detection by Pyrosequencing(®).
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    Chapter 21 SNP-Based Quantification of Allele-Specific DNA Methylation Patterns by Pyrosequencing ®
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    Chapter 22 DNA Methylation Analysis of ChIP Products at Single Nucleotide Resolution by Pyrosequencing(®).
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    Chapter 23 Multiplex Pyrosequencing ® : Simultaneous Genotyping Based on SNPs from Distant Genomic Regions
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    Chapter 24 Pyrosequencing
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    Chapter 25 Application of Pyrosequencing ® in Food Biodefense
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    Chapter 26 Pyrosequencing
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    Chapter 27 Tissue-Specific DNA Methylation Patterns in Forensic Samples Detected by Pyrosequencing(®).
Attention for Chapter 3: Software-Based Pyrogram ® Evaluation
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Chapter title
Software-Based Pyrogram ® Evaluation
Chapter number 3
Book title
Pyrosequencing
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2715-9_3
Pubmed ID
Book ISBNs
978-1-4939-2714-2, 978-1-4939-2715-9
Authors

Guoli Chen, Matthew T. Olson, James R. Eshleman, Chen, Guoli, Olson, Matthew T., Eshleman, James R.

Abstract

Pyrosequencing(®) is a widely used technology to detect gene mutations in a molecular research or diagnostics laboratory. Compared to Sanger sequencing, it is inherently more quantitative with a superior limit of detection, although it has a shorter read length and has difficulty with homopolymeric sequences.Results of Pyrosequencing experiments are typically presented as traces with sequential peaks, called Pyrograms(®). For the majority of clinical diagnostic cases, Pyrograms are straightforward to read. However, there are occasionally complex results that are uninterpretable or difficult to interpret. In this chapter, we demonstrate a computer software, named Pyromaker that has been developed to help with the analysis of Pyrograms. Pyromaker is a freely and publically available software program to assist in the recognition of patterns of mutations, interpretation of difficult or ambiguous testing results and design of an optimal strategy to detect potential mutations by generating simulated Pyrograms. In addition to help diagnostic activities, Pyromaker can also be used as a virtual and user-friendly educational tool to teach newcomers the fundamental mechanism of Pyrosequencing, and correct interpretation of actual Pyrosequencing data.

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Unknown 1 100%

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Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Unknown 1 100%