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Application of Computational Methods in Planaria Research: A Current Update

机译:计算方法在浮游生物研究中的应用:最新进展

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摘要

Planaria is a member of the Phylum Platyhelminthes including flatworms. Planarians possess the unique ability of regeneration from adult stem cells or neoblasts and finds importance as a model organism for regeneration and developmental studies. Although research is being actively carried out globally through conventional methods to understand the process of regeneration from neoblasts, biology of development, neurobiology and immunology of Planaria, there are many thought provoking questions related to stem cell plasticity, and uniqueness of regenerative potential in Planarians amongst other members of Phylum Platyhelminthes. The complexity of receptors and signalling mechanisms, immune system network, biology of repair, responses to injury are yet to be understood in Planaria. Genomic and transcriptomic studies have generated a vast repository of data, but their availability and analysis is a challenging task. Data mining, computational approaches of gene curation, bioinformatics tools for analysis of transcriptomic data, designing of databases, application of algorithms in deciphering changes of morphology by RNA interference (RNAi) approaches, understanding regeneration experiments is a new venture in Planaria research that is helping researchers across the globe in understanding the biology. We highlight the applications of Hidden Markov models (HMMs) in designing of computational tools and their applications in Planaria decoding their complex biology.
机译:Planaria是Phylum Platyhelminthes(包括扁虫)的成员。浮游生物具有从成体干细胞或成神经细胞再生的独特能力,并在作为再生和发育研究的模型生物中发挥了重要作用。尽管目前正在通过常规方法在全球范围内积极开展研究,以了解扁平芽孢杆菌的再生,发育生物学,神经生物学和免疫学的过程,但仍有许多令人困扰的问题涉及干细胞的可塑性,以及其中扁平藻的再生潜力的独特性。 Phylum Platyhelminthes的其他成员。在Planaria中尚未了解受体和信号传导机制,免疫系统网络,修复生物学,对损伤的反应的复杂性。基因组和转录组学研究已经产生了庞大的数据仓库,但是其可用性和分析却是一项艰巨的任务。数据挖掘,基因管理的计算方法,用于转录组数据分析的生物信息学工具,数据库设计,算法在通过RNA干扰(RNAi)方法破译形态变化中的应用,了解再生实验是Planaria研究的一项新尝试全球研究人员了解生物学。我们重点介绍了隐马尔可夫模型(HMM)在计算工具设计中的应用及其在Planaria解码其复杂生物学过程中的应用。

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