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Elsevier

Computational Workflows and Protocols for Omics Data Analysis

  • 1st Edition - June 1, 2027
  • Latest edition
  • Editors: Dev Bukhsh Singh, Himanshu Avashthi
  • Language: English

Responding to the growing need for hands-on guidance in the era of high-throughput sequencing, Computational Workflows and Protocols for Omics Data Analysis delivers a robust… Read more

Description

Responding to the growing need for hands-on guidance in the era of high-throughput sequencing, Computational Workflows and Protocols for Omics Data Analysis delivers a robust collection of reproducible, step-by-step protocols tailored for real-world omics data analysis. Structured across 14 expertly curated chapters, it spans the full analytical pipeline –from raw data processing and genome assembly to variant detection, single-cell transcriptomics, and microbiome profiling. Each chapter is authored by leading international experts and includes detailed workflows, command-line instructions, and illustrative figures to ensure clarity and confidence in implementation. Designed to bridge the gap between theory and practice, this reference empowers users to navigate complex datasets with precision, supporting innovations in biomedical, agricultural, environmental, and clinical research. Whether used as a core textbook or a laboratory manual, it is an indispensable resource for accelerating discovery, refining diagnostics, and advancing therapeutic development in the life and health sciences.

Key features

  • Integrates diverse analysis workflows including genomics, transcriptomics, and epigenomics
  • Provides step-by-step protocols for comprehensive omics data analysis
  • Features protocols authored by leading global experts
  • Covers recent advancements and specialized tools in NGS analysis
  • Offers practical guidance with commands, flowcharts, and figures

Readership

Graduate and postgraduate researchers in bioinformatics and genomics

Table of contents

1. Preprocessing and Quality Control of NGS Data

2. Genome Assembly and Annotation

3. Variant Calling and Structural Variation Detection

4. Identification of Microsatellite Markers

5. Comparative Genomics and Phylogenetic

6. Epigenomic Data Analysis

7. Single-cell RNA-seq (scRNA-seq) analysis

8. Metagenomic Profiling and Microbiome Analysis

9. RNA-Seq Analysis using de Novo Assembly and Reference-based Assembly Approach

10. Functional Annotation, Gene Enrichment, and Pathway Analysis

11. Identification and Functional Annotation of miRNAs

12. Proteomics Data Analysis

13. Trait Analysis Using Genome-Wide Association Study

14. Integration of Multi-Omics Data

Product details

  • Edition: 1
  • Latest edition
  • Published: June 1, 2027
  • Language: English

About the editors

Dev Bukhsh Singh

Editor
Dr. Dev Bukhsh Singh is Assistant Professor in the Department of Biotechnology at Siddharth University, Kapilvastu, India, a position he has held since 2021. Previously, he served as Assistant Professor in the Department of Biotechnology at Chhatrapati Shahu Ji Maharaj University, Kanpur, India, from 2009 to 2021. His research focuses on medicinal biology, lead compound discovery, and drug design. He has been involved in teaching and mentoring undergraduate and postgraduate students in biotechnology since 2009. Dr. Singh has edited books in the areas of protein structure and function, computer-aided drug design, Protein-based therapeutics, medicinal biotechnology, genomics, and bioinformatics. He is a member of professional academic organizations and serves as a reviewer for scholarly journals. His academic interests include applying computational and biotechnological approaches to drug discovery and related life science research.
Affiliations and expertise
Siddharth University, Siddharth Nagar, India

Himanshu Avashthi

Editor

Dr. Himanshu Avashthi is an Assistant Professor in the Department of Biotechnology, College of Basic Science and Humanities, Sardarkrushinagar Dantiwada Agricultural University, Gujarat, India. He holds a PhD in Bioinformatics and has been engaged in teaching and research since 2013. His academic and research experience includes appointments at Govind Ballabh Pant University of Agriculture and Technology, Uttar Pradesh Pandit Deen Dayal Upadhyaya Pashu Chikitsa Vigyan Vishwavidyalaya Evam Go-Anusandhan Sansthan, Marwadi University, ICAR-Indian Agricultural Statistics Research Institute, ICAR-Indian Agricultural Research Institute, and ICAR-National Bureau of Plant Genetic Resources. His research interests include bioinformatics, genomics, proteomics, next-generation sequencing data analysis, genome-wide association studies, molecular modeling, and drug design.

Affiliations and expertise
Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar