Transcriptome Data Analysis

This book PDF is perfect for those who love Medical genre, written by Yejun Wang and published by Humana which was released on 20 March 2019 with total hardcover pages 238. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Transcriptome Data Analysis books below.

Transcriptome Data Analysis
Author : Yejun Wang
File Size : 52,8 Mb
Publisher : Humana
Language : English
Release Date : 20 March 2019
ISBN : 1493992643
Pages : 238 pages
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Transcriptome Data Analysis by Yejun Wang Book PDF Summary

This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore protocols for gene characterization analysis with RNA-seq data as well as protocols on several new applications of transcriptome studies. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and useful, Transcriptome Data Analysis: Methods and Protocols serves as an ideal guide to the expanding purposes of this field of study.

Transcriptome Data Analysis

This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore protocols for gene characterization analysis with RNA-seq data as well as protocols on several new applications of transcriptome studies. Written for the highly

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible

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RNA seq Data Analysis

The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript le

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Transcriptome Analysis

Transcriptome analysis is the study of the transcriptome, of the complete set of RNA transcripts that are produced under specific circumstances, using high-throughput methods. Transcription profiling, which follows total changes in the behavior of a cell, is used throughout diverse areas of biomedical research, including diagnosis of disease, biomarker discovery,

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This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary structures, and novel algorithms based on massive RNA sequencing. Interest in RNA bioinformatics has rapidly increased thanks to the recent high-throughput sequencing technologies allowing scientists to investigate complete transcriptomes at single nucleotide resolution.

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A Practical Guide To Cancer Systems Biology

Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis

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RNA Seq Analysis  Methods  Applications and Challenges

Download or read online RNA Seq Analysis Methods Applications and Challenges written by Filippo Geraci,Indrajit Saha,Monica Bianchini, published by Frontiers Media SA which was released on 2020-06-08. Get RNA Seq Analysis Methods Applications and Challenges Books now! Available in PDF, ePub and Kindle.

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