Titlebook: Deep Sequencing Data Analysis; Noam Shomron Book 2021Latest edition Springer Science+Business Media, LLC, part of Springer Nature 2021 ChI

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Statistical Considerations on NGS Data for Inferring Copy Number Variations,t the loci of CNVs can be accurately detected. In this book chapter, a summary of most popularly used statistical methods for detecting CNVs using NGS data is given. The goal is to provide readers with a comprehensive resource of available statistical approaches for inferring DNA copy number variati

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RNA-Seq in Nonmodel Organisms,o transcriptome assembly that will be comprehensive and reliable; (6) how to assess transcriptome quality; (7) when and how to reduce redundancy in the transcriptome; (8) techniques and considerations in transcriptome functional annotation; (9) quantitating transcript abundance in the face of high t

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Genome-Wide Noninvasive Prenatal Diagnosis of SNPs and Indels,is analysis. Genome-wide analysis of point mutations in the fetus is not widely studied, albeit much space for algorithmic improvements exists. Here we suggest practical solutions for challenges along the process. Our work assists bioinformaticians in accessing NIPD data analysis and can eventually

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Overcoming Interpretability in Deep Learning Cancer Classification,on Grad-CAM scoring methodology, as well as, validate the use this methodology for the chosen model. Consequently, this allows for the utilization of the Grad-CAM scoring methodology for feature importance in deep learning cancer classification. The results from our study identify potential novel ca