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Titlebook: Computational Systems Biology; Methods and Protocol Tao Huang Book 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018

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Bernadette Mary Mercieca,Jacquelin McDonald data analysis modules. Users without programming and statistical skills can analyze their RNA-seq data and construct publication-level graphs through a standardized yet customizable analytical pipeline. iSeq is accessible via Web browsers on any operating system at ..
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https://doi.org/10.1007/978-1-349-21091-6cal and biomedical study cycle and further discusses the machine learning strategies for analyzing omics data in some cutting-edge biological studies. Finally, the notes on new challenges for machine learning due to small-sample high-dimension are summarized from the key points of sample unbalance, white box, and causality.
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iSeq: Web-Based RNA-seq Data Analysis and Visualization, data analysis modules. Users without programming and statistical skills can analyze their RNA-seq data and construct publication-level graphs through a standardized yet customizable analytical pipeline. iSeq is accessible via Web browsers on any operating system at ..
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Bioinformatics Analysis for Cell-Free Tumor DNA Sequencing Data,ature, the task to detect low mutated allele frequency (MAF) variations from noisy sequencing data remains challenging. In this chapter, the authors will first explain the difficulties of analyzing ctDNA sequencing data, review related technologies, and then present some novel bioinformatics methods for analyzing ctDNA NGS data in better ways.
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DNA Sequencing Data Analysis,t to understand life science more precisely. This chapter is an overview of DNA sequencing technology and its data analysis methods, providing information about DNA sequencing, several different methods, and tools applied in data analysis. Both advantages and disadvantages are discussed.
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Transcriptome Sequencing: RNA-Seq,l events, such as alternative splicing, novel transcripts, and fusion genes. In principle, RNA-seq can be carried out by almost all of the next-generation sequencing (NGS) platforms, but the libraries of different platforms are not exactly the same; each platform has its own kit to meet the special
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