Genomics Data Analysis for Crop Improvement (Springer Protocols Handbooks) - Image 1

£141.13

Springer Genomics Data Analysis for Crop Improvement (Springer Protocols Handbooks)

Name: Genomics Data Analysis for Crop Improvement (Springer Protocols Handbooks)
Brand: Springer
Price: 18.79 GBP
Availability: InStock

Data Storage & Management

Price History & Forecast

Last 79 days • 79 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 79 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £128 (71 days, 89.9%)

Price range: £19 - £141

Price levels: 3 different prices over 79 days

Description

This book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references. The book contains 16 chapters on recent developments in several methods of genomic data analysis for crop improvements and sustainable agriculture, all authored by eminent researchers who are experts in their fields. These chapters focus on applications of a wide range of key bioinformatics topics, including assembly, annotation, and visualization of next-generation sequencing (NGS) data; expression profiles of coding and noncoding RNA; statistical and quantitative genetics; trait-based association analysis, quantitative trait loci (QTL) mapping, and artificial intelligence in genomic studies. Real examples and case studies in the book will come in handy when applying the techniques. The relative scarcity of reference materials covering bioinformatics applications as compared with the readily available books also enhances the utility of this book. The targeted readers of the book are scientists, researchers, and bioinformaticians from genomics and advanced breeding in different areas. The book will appeal to the applied researchers engaged in crop improvements and sustainable agriculture by using bioinformatics tools, students, research project leaders, and practitioners from the various marginal disciplines and interdisciplinary research.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 9819969158
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management
Domain: Amazon UK
Release Date: 28 January 2025
Listed Since: 26 January 2025

Barcode

No barcode data available

Springer Genomics Data Analysis for Crop Improvement (Springer Protocols Handbooks)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Agricultural Bioinformatics

Agricultural Bioinformatics

Springer - Big Data Analytics in Genomics - Research Book

Big Data Analytics in Genomics

Bioinformatics in Agriculture: Next Generation Sequencing Era

Genomics of Plant Genetic Resources: Volume 1. Managing, sequencing and mining genetic resources

CRC Press - The Role of Bioinformatics in Agriculture Book

Computational Genetics: Advanced Data Analysis Programming with R and Bioconductor (Genesis Protocol: Next Generation Technology for Biological and Life Sciences)

Genome Editing Technologies for Crop Improvement

Genomics-Assisted Crop Improvement: Vol 2: Genomics Applications in Crops

Crop Improvement: Sustainability Through Leading-Edge Technology

Genome Analysis: Current Procedures and Applications

Springer - Computational and Statistical Approaches to Genomics

The Role of Bioinformatics in Agriculture

Next-Generation Sequencing Data Analysis

Current trends in Bioinformatics: An Insight

Genomics of Plant Genetic Resources: Volume 2. Crop productivity, food security and nutritional quality

Genomics of Tree Crops by Springer - Biological Sciences Book

Rice Functional Genomics: Challenges, Progress and Prospects

Wiley Genotyping by Sequencing for Crop Improvement Book

Essentials of Bioinformatics, Volume III: In Silico Life Sciences: Agriculture: 3

The Soybean Genome (Compendium of Plant Genomes)

Primer to Analysis of Genomic Data Using R (Use R!)

Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data