下一代测序的生物信息学模型及计算软件研究进展

IF 1.3 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Jalilah Arijah Mohd Kamarudin, A. Abdullah, R. Sallehuddin
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引用次数: 0

摘要

在过去的十年中,研究人员越来越多地努力克服下一代测序(NGS)中最重要的生物信息学挑战。这篇综述文章给出了计算软件和生物信息学模型的概述,已用于下一代测序。本文对该程序或软件的功能、源代码类型和网站进行了描述。这些计算软件和生物信息学模型正在分化为三种类型的生物信息学分析阶段:比对、变体调用和过滤和注释。此外,我们还讨论了未来的工作和新的生物信息学工具的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Bioinformatics Model and Computational Software of Next Generation Sequencing
In the past decade it has become increasingly the effort for researcher to surpass the bioinformatics challenges foremost in next generation sequencing (NGS). This review paper gives an overview of the computational software and bioinformatics model that has been used for next generation sequencing. In this paper, the description on functionalities, source type and website of the program or software are provided. These computational software and bioinformatics model are differentiating into three types of bioinformatics analysis stages including alignment, variant calling and filtering and annotation. Besides, we discuss the future work and the development for new bioinformatics tool to be advanced.
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来源期刊
CiteScore
3.20
自引率
20.00%
发文量
0
审稿时长
4.3 months
期刊介绍: The primary aim of the International Journal of Innovative Computing, Information and Control (IJICIC) is to publish high-quality papers of new developments and trends, novel techniques and approaches, innovative methodologies and technologies on the theory and applications of intelligent systems, information and control. The IJICIC is a peer-reviewed English language journal and is published bimonthly
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