注释
计算机科学
计算生物学
数据科学
序列(生物学)
基因组学
DNA测序
过程(计算)
基因组计划
领域(数学)
情报检索
生物
基因组
遗传学
人工智能
DNA
基因
数学
纯数学
操作系统
作者
Prajna Hebbar,Sowmya Kamath S
出处
期刊:Lecture notes in networks and systems
日期:2022-01-01
卷期号:: 1057-1067
被引量:1
标识
DOI:10.1007/978-3-030-96308-8_98
摘要
Variant annotation is the process by which variants and mutations in the DNA are assigned functional information and is a crucial process in genomic sequence analysis. The outcomes of such annotation are beneficial because they can directly influence the conclusions arrived at in disease studies. Once genomic sequencing data is processed, and variants are called, it is vital to recognise the functional content of this data and then analyse the data to prioritise these variants. This is an interesting problem in the computational biology field and presents many open challenges that are yet to be addressed. In this paper, a comprehensive review of current work addressing the problem of variant annotation is presented. We detail the various tools and methods that have been developed for variant annotation along with datasets that have been used by these methods. Insights on open challenges and directions for future research are also discussed.
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