a survey of computational tools to analyze and interpret whole exome sequencing data

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ID: 159981
2016
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Abstract
Whole Exome Sequencing (WES) is the application of the next-generation technology to determine the variations in the exome and is becoming a standard approach in studying genetic variants in diseases. Understanding the exomes of individuals at single base resolution allows the identification of actionable mutations for disease treatment and management. WES technologies have shifted the bottleneck in experimental data production to computationally intensive informatics-based data analysis. Novel computational tools and methods have been developed to analyze and interpret WES data. Here, we review some of the current tools that are being used to analyze WES data. These tools range from the alignment of raw sequencing reads all the way to linking variants to actionable therapeutics. Strengths and weaknesses of each tool are discussed for the purpose of helping researchers make more informative decisions on selecting the best tools to analyze their WES data.
Reference Key
hintzsche2016internationala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jennifer D. Hintzsche;William A. Robinson;Aik Choon Tan
Journal balıkesir medical journal
Year 2016
DOI
10.1155/2016/7983236
URL
http://dx.doi.org/10.1155/2016/7983236
Keywords
genetics

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