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Paper
title

Copy number variation detection using exome sequencing data

Credit to Download: 1 | Page Numbers 6 | Abstract Views: 606
Year: 2012
COI code: CIGS12_0837
Paper Language: English

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Authors Copy number variation detection using exome sequencing data

Amin Z.Saffari - Department of Immunology, Genetics and Pathology, Science for Life Laboratory Uppsala, Rudbeck laboratory
Jonatan Halvardson - Department of Immunology, Genetics and Pathology, Science for Life Laboratory Uppsala, Rudbeck laboratory
Lars Feuk - Department of Immunology, Genetics and Pathology, Science for Life Laboratory Uppsala, Rudbeck laboratory

Abstract:

Copy number variation (CNV) is a significant source of human genetic diversity and it’s also known to sometimes cause diseases. CNVs are generally identified using array based approaches. However, with the development of next generation sequencing techniques there is now a great need for analysis tools that can be used to identify CNVs from sequence data. In this research, we have developed a kernel smoothing algorithm to identify CNVs based on exome sequencing data from parent-offspring trios

Keywords:

CNV, Next generation sequencing, Smoothing algorithm

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https://www.civilica.com/Paper-CIGS12-CIGS12_0837.html
COI code: CIGS12_0837

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Z.Saffari, Amin; Jonatan Halvardson & Lars Feuk, 2012, Copy number variation detection using exome sequencing data, 12th Congress of Iranian Genetics Society, تهران, انجمن ژنتيك ايران, https://www.civilica.com/Paper-CIGS12-CIGS12_0837.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Z.Saffari, Amin; Jonatan Halvardson & Lars Feuk, 2012)
Second and more: (Z.Saffari; Halvardson & Feuk, 2012)
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