个人基因组分析:迈向个性化医疗的一步

D. Jaggi, Heena Dhiman, Sonam Arora, Vidhi Malik, Y. Hasija
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引用次数: 0

摘要

近年来全基因组测序技术的发展为我们提供了许多完全确定的个体基因组序列,称为“个人基因组”。随着个人基因组测序的商品化,发现序列差异的必要性正在增加,以促进临床诊断研究。为此,我们需要了解包含重复、重排和大规模序列增益和损失的区域。除此之外,如此多样的数据集的存储和检索以及基因组序列的基本分析对于解释复杂的个人基因组非常重要。因此,熟悉计算技术,以帮助简单和快速的分析全基因组序列是非常必要的。在此,我们将讨论一些成功用于基因预测、测序、基因注释、基因组比较以及与此类研究相关的一些ELSIs的工具。这种现代化的工具和方法可以推断出每个人的分子组成,以实现个性化医疗的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personal genome analysis: a tread towards personalised medicine
Recent developments in whole–genome sequencing technology have introduced to us, completely determined genome sequences of many individuals, called 'personal genomes'. As personal genome sequencing is being commoditised, the necessity to discover sequence dissimilarities is increasing, to facilitate clinical diagnostic studies. For this we need to have the knowledge of regions containing duplications, rearrangements and large scale gain and loss of sequences. Apart from that storage and retrieval of such a varied dataset and the basic analysis of genomic sequence is very important, to interpret the complex personal genomes. Thus, acquaintance with computational techniques that aid in easy and fast analysis of whole genome sequences is quite essential. Hereby we are discussing some of the tools that are being successfully used for gene prediction, sequencing, gene annotation, genome comparisons along with some ELSIs associated with such studies. Such modernised tools and methods can deduce the molecular make–up of each individual for the conception of personalised medicine.
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