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  Comparison of Software Tools for microRNA Next Generation Sequencing Data Analysis

Zheng, M. (2016). Comparison of Software Tools for microRNA Next Generation Sequencing Data Analysis. Master Thesis, Universität des Saarlandes, Saarbrücken.

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Latex : Comparison of Software Tools for {microRNA} Next Generation Sequencing Data Analysis

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2016_ Master Thesis_Menglin ZHENG.pdf (Any fulltext), 2MB
 
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 Creators:
Zheng, Menglin1, Author              
Backes, Christina2, Advisor
Keller, Andreas2, Referee
Meese, Eckart3, Referee
Affiliations:
1International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              
2Clinical Bioinformatics, Saarland University, ou_persistent22              
3Institute of Human Genetics, Saarland University Homburg, Building 60 66421 Homburg Germany, ou_persistent22              

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 Abstract: Next-generation sequencing (NGS) appears to be very promising to study miRNAs comprehensively, which can not only profile known miRNAs, but also predict novel miRNAs. There are an increasing number of software tools developed for microRNA NGS data analysis. Nevertheless, an overall comparison of these tools is still rare and how divergent these software tools are is still unknown, which confuses the researchers to select an optimal tool. In our study, we performed a comprehensive comparison of seven representative software tools based on real data in various aspects, including detected known miRNAs, miRNAs abundance, differential expression and predicted novel miRNAs. We presented the divergences and similarities of these tools and gave some basic evaluation of the tools’ performances. In addition, some extreme cases in miRNAkey were explored. The comparison of these tools suggests that the performances of these software tools are very diverse and the caution is necessary to take when choosing a software tool. The summarization of the tools’ features and comparison of their performances in our study will provide useful information for the researchers to promote their selection of an appropriate software tool.

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Language(s): eng - English
 Dates: 20162016-09-12
 Publication Status: Published in print
 Pages: 70 p.
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: ZhengMaster2016
 Degree: Master

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