Application of Computational Methods in Planaria Research: A Current Update.
Application of Computational Methods in Planaria Research: A Current Update.
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DOI：
10.1515/jib-2017-0007
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发表时间：
2017-07-06
影响因子：
1.9
通讯作者：
Ghosh S
中科院分区：
文献类型：
--
作者：
Ghosh S
Planaria是包括扁形虫在内的扁形动物门的成员。涡虫具有从成体干细胞或新胚细胞再生的独特能力，并发现作为再生和发育研究的模式生物的重要性。虽然研究正在积极开展全球通过传统的方法来了解再生过程从neoblast，生物学的发展，神经生物学和免疫学的Planaria，有许多发人深省的问题有关干细胞可塑性，和再生潜力的独特性Planarians之间的其他成员门扁形动物。Planaria中受体和信号机制的复杂性，免疫系统网络，修复生物学，对损伤的反应尚未被理解。基因组学和转录组学研究已经产生了大量的数据库，但其可用性和分析是一项具有挑战性的任务。数据挖掘、基因策展的计算方法、用于分析转录组数据的生物信息学工具、数据库设计、通过RNA干扰（RNAi）方法破译形态变化的算法应用、理解再生实验是Planaria研究中的一项新尝试，正在帮助研究人员在全球范围内了解生物学。地球仪。重点介绍了隐马尔可夫模型在计算工具设计中的应用，以及在解算Planaria复杂生物学中的应用。
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.