Literature DB >> 12503322

Software for machine-independent quantitative interpretation of SSCP in capillary array electrophoresis (QUISCA).

Koichiro Higasa1, Yoji Kukita, Shingo Baba, Kenshi Hayashi.   

Abstract

PCR single-stranded conformational polymorphism (SSCP) analysis is a simple and rapid electrophoretic technique for the sensitive detection of sequence variants of PCR products. Here we describe a cross-platform program package, quantitative interpretation of SSCP in capillary array (QUISCA), which allows semi-automated quantitative detection of sequence variants separated by multicolor fluorescence-based SSCP electrophoresis using various capillary array apparatus. The program, together with the QUISCAview as a graphical user interface, takes trace data in ASCII format and processes them with three modules: signal denoising/baseline subtraction, color-matrix construction/application, and calibration of peak positions between multiple capillary runs using internal standard peaks. QUISCA is compatible with data from various widely used capillary array sequencers and is suitable not only for finding or typing SNPs in individual DNAs but also for the accurate estimation of the allele frequencies of many SNPs using a pooled DNA strategy. QUISCA can also serve as a versatile core program for various fragment analyses.

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Year:  2002        PMID: 12503322     DOI: 10.2144/02336bc05

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  4 in total

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2.  Tumor differentiation phenotype in gastric differentiated-type tumors and its relation to tumor invasion and genetic alterations.

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Journal:  World J Gastroenterol       Date:  2006-06-28       Impact factor: 5.742

3.  GOGOT: a method for the identification of differentially expressed fragments from cDNA-AFLP data.

Authors:  Koji Kadota; Ryoko Araki; Yuji Nakai; Masumi Abe
Journal:  Algorithms Mol Biol       Date:  2007-05-30       Impact factor: 1.405

4.  A normalization strategy applied to HiCEP (an AFLP-based expression profiling) analysis: toward the strict alignment of valid fragments across electrophoretic patterns.

Authors:  Koji Kadota; Ryutaro Fukumura; Joseph J Rodrigue; Ryoko Araki; Masumi Abe
Journal:  BMC Bioinformatics       Date:  2005-03-06       Impact factor: 3.169

  4 in total

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