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Practical Guide to ChIP-seq Data Analysis

epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through;

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Practical Guide to ChIP-seq Data Analysis

epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through;

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RNA-seq Data Analysis

harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to;

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Next-Generation Sequencing Data Analysis

Sequencing Data Analysis shows how next-generation sequencing (NGS) technologies are applied to transform nearly all aspects of biological research;

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Introduction to Bioinformatics with R

to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered;

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Introduction to Bioinformatics with R

to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered;

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Computational Genomics with R

genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and;

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Computational Genomics with R

visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will;

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Deep Sequencing Data Analysis

deep sequencing data field. Chapters guide readers through techniques for processing RNA-seq data, microbiome analysis, deep learning;

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Bioinformatics Research and Applications

interaction; HPC and CryoEM; machine and deep learning; data analysis and methodology; analysis and visualization tools; and RNA-Seq data analysis.;

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Echinoderms Part B

presenting chapters on Echinoderm Genome Databases, analysis of gene regulatory networks, using ATAC-seq and RNA-seq to increase resolution in GRN;

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Making Sense of Data I

is a must-read book for learning practical statistics and data analysis...Computing Reviews.com A proven go-to guide for data analysis, Making;

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Data Literacy: A User's Guide

A practical, skill-based introduction to data analysis and data literacy. Accompanied by a student study website.;

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Epstein Barr Virus

viral genome by terminal repeat analysis and sequencing; the use of chromatin immunoprecipitation coupled sequencing (ChIP-Seq) for the analysis;

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R and Data Mining

in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical;

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IBM SPSS by Example: A Practical Guide to Statistical Data Analysis

data for analysis, perform the analysis and interpret the output.;

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Analysis Biomarker Data Practical Guide

that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation;

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Networks-on-Chips

design solutions and research hurdles related to intra-chip data exchange, engineers are challenged to invoke a wide range of disciplines and;

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Networks-on-Chips

design solutions and research hurdles related to intra-chip data exchange, engineers are challenged to invoke a wide range of disciplines and;

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Application of Omics, AI and Blockchain in Bioinformatics Research

With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level;

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Practical Data Analysis -

A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book;

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Core Analysis A Best Practice Guide

>Provides a practical overview of core analysis, from coring at the well site to laboratory data acquisition and interpretation

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A Practical Guide to Scientific Data Analysis

Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has;

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Guide to Analysis of DNA Microarray Data

Written for biologists and medical researchers who don't have any special training in data analysis and statistics, Guide to Analysis;

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Chip Design for Non-Designers

Chip Design for Non-Designers: An Introduction provides a practical introduction to modern chip design methodologies. It is intended for;

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Practical Guide To Chemometrics, Second Edition

accessible introduction to application-oriented multivariate methods of data analysis and procedures that are highly beneficial to solving a variety;

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Time Series Analysis Using SAS Enterprise Guide

theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive;

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