Recent Trends in ‘Computational Omics: Concepts and Methodology’

Pramod Katara (Editor)
Assistant Professor, Centre of Bioinformatics, Nehru Science Complex, University of Allahabad, Prayagraj, India

Series: Computer Science, Technology and Applications
BISAC: COM051000



Volume 10

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Volume 2

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick


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The last decade has witnessed various technological advances in life sciences, especially high throughput technologies. These technologies provide a way to perform parallel scientific studies in a very short period of time with low cost. High throughput techniques, mainly, next generation sequencing, microarray and mass spectrometry, have strengthened the omics vision in the last decades (study of complete system) and now resulted in well-developed branches of omics i.e., genomics, transcriptomics, proteomics and metabolomics, which deal with almost every level of central dogma of life. Practice of high throughput techniques throughout the world with different aims and objectives resulted in a voluminous data, which required computational applications, i.e., database, algorithm and software to store, process and get biological interpretation from primary raw data. Researchers from different fields are looking to analyze these raw data for different purposes, but lacking of proper information and knowledge in proper documented form creates different kinds of hurdles and raises the challenges. This book contains thirteen chapters that deal with different computational biology/bioinformatics resources and concepts which are already in practice by the scientific community or can be utilized to handle various aspects of different classes of omics data. It includes different computational concepts, algorithm, resources and recent trends belonging to the four major branches of omics (i.e., genomics, transcriptomics, proteomics and metabolomics), including integrative omics. It will help all scholars who are working in any branch of computational omics and bioinformatics field as well as those who would like to perform research at a systemic biology through computational approaches.
(Imprint: Nova)


Chapter 1. Integrative Omics: Current Status and Future Directions
(Anamika Yadav, Shraddha Vishwakarma, Neelam Krishna and Pramod Katara, Computational Omics Lab, Centre of Bioinformatics, University of Allahabad, Prayagraj, India)

Chapter 2. Database Resources for Computational Omics
(Anil Kumar and Kavya Sinha, Department of Bioinformatics, Central University of South Bihar, Gaya, Bihar, India)

Chapter 3. Algorithms in Bioinformatics
(Budhayash Gautam, Department of Computational Biology and Bioinformatics, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, India)

Chapter 4. Recent Trends in ‘Computational Transcriptomics’
(Pramod Katara, Neelam Krishna, Anamika Yadav and Shraddha Vishwakarma, Computational Omics Lab, Centre of Bioinformatics, University of Allahabad, Prayagraj, India)

Chapter 5. Single-Cell RNA Sequencing Technologies and Computational Analysis
(Indu Khatri, Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, Netherlands)

Chapter 6. Computational Analysis of Metabol(Om)Ic Networks
(S. Balaji, Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India)

Chapter 7. Immuno-Informatics: Computational Trends in Immuno-Oncogenomics
(Madhulika Verma and Andrew M. Lynn, School of Computational and Integrative Sciences,
Jawaharlal Nehru University, New Delhi, India)

Chapter 8. OMICS in Cancer: From Diagnostics to Therapeutics
(Sujata Maurya, Vaishali Chandel, Sibi Raj, Atul Upadhyay, Chanderdeep Tandon and Dhruv Kumar, Amity Institute of Molecular Medicine and Stem Cell Research, Amity University, Noida, Uttar Pradesh, India, and others)

Chapter 9. Role of Network Biology in Cancer Research
(Rinki Singh and Anup Som, Centre of Bioinformatics, Institute of Interdisplinary Studies, University of Allahabad, Prayagraj, India)

Chapter 10. Bioinformatics Resources for the Prediction of Cancer Prognosis and Its Recurrence
(A. Haldar, K. Yadav, P. Katara and A. K. Singh, Department of Bioinformatics, Central University of South Bihar, Gaya, India, and others)

Chapter 11. Computational Metagenomics: Current Status and Challenges
(Swarna Kanchan, Rajeshwar P. Sinha, Jean Chaudière and Minu Kesheri, INRIA, Bordeaux Sud-Ouest, Talence, France, and others)

Chapter 12. Integrated Omics for Dissecting Host-Pathogen Interaction: Challenges and Opportunities
(Rajesh Kumar Pathak and Dev Bukhsh Singh, School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India, and others)

Chapter 13. Development and Analysis of Simple Sequence Repeats in Chloroplast Genomes of Genus Saccharum: A Computational Study
(Sonu Kumar, Kriti Kumari1 Anamika Singh, Keshav Kumar, Ashutosh Singh and Asheesh Shanker, Department of Bioinformatics, Central University of South Bihar, Gaya, India, and others)

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