Fastbreak:一个分析和可视化基因组数据结构变化的工具。

Ryan Bressler, Jake Lin, Andrea Eakin, Thomas Robinson, Richard Kreisberg, Hector Rovira, Theo Knijnenburg, John Boyle, Ilya Shmulevich
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引用次数: 6

摘要

目前正在对数千个样本进行基因组研究,需要新的计算工具来快速分析数据以识别临床重要特征。从配对序列中推断癌症基因组的结构变异是一个组合难题。我们介绍了Fastbreak,这是一个快速且可扩展的工具包,可以对来自癌症基因组图谱等项目的大量数据进行分析和可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Fastbreak: a tool for analysis and visualization of structural variations in genomic data.

Genomic studies are now being undertaken on thousands of samples requiring new computational tools that can rapidly analyze data to identify clinically important features. Inferring structural variations in cancer genomes from mate-paired reads is a combinatorially difficult problem. We introduce Fastbreak, a fast and scalable toolkit that enables the analysis and visualization of large amounts of data from projects such as The Cancer Genome Atlas.

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