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  • © 2015

Computational Intelligence Techniques for Comparative Genomics

Dedicated to Prof. Allam Appa Rao on the Occasion of His 65th Birthday

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Forensic and Medical Bioinformatics (BRIEFSFOMEBI)

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  • ISBN: 978-981-287-338-5
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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xviii
  2. Automatic Teaching–Learning-Based Optimization: A Novel Clustering Method for Gene Functional Enrichments

    • Ramachandra Rao Kurada, K. Karteeka Pavan, Allam Appa Rao
    Pages 17-35
  3. Modeling Artificial Life: A Cellular Automata Approach

    • Kunjam Nageswara Rao, Madugula Divya, M. Pallavi, B. Naga Priyanka
    Pages 73-85
  4. Identification of Deleterious SNPs in TACR1 Gene Using Genetic Algorithm

    • Dharmaiah Devarapalli, Ch. Anusha, Panigrahi Srikanth
    Pages 87-97
  5. Identification of AIDS Disease Severity Using Genetic Algorithm

    • Dharmaiah Devarapalli, Panigrahi Srikanth
    Pages 99-111
  6. A Novel Clustering Approach Using Hadoop Distributed Environment

    • Nagesh Vadaparthi, P. Srinivas Rao, Y. Srinivas, M. Athmaja
    Pages 113-119
  7. Framework for Evaluation of Programming Language Examinations

    • Himani Mittal, Syamala Devi Mandalika
    Pages 121-128
  8. An Efficient Data Integration Framework in Cloud Using MapReduce

    • P. Srinivasa Rao, M. H. M. Krishna Prasad, K. Thammi Reddy
    Pages 129-137

About this book

This Brief highlights Informatics and related techniques to Computer Science Professionals, Engineers, Medical Doctors, Bioinformatics researchers and other interdisciplinary researchers. Chapters include the Bioinformatics of Diabetes and several computational algorithms and statistical analysis approach to effectively study the disorders and possible causes along with medical applications.

Keywords

  • AIDS Severity
  • Breast Cancer
  • Comparative Genomics
  • Diabetes Model
  • Gene Functional Enrichment
  • Learning Based Optimization
  • Protein Secondary Structure
  • Protein-protein Interaction
  • TACR1 Gene
  • diabetes

Editors and Affiliations

  • C.R. Rao Advn Inst of Mat, Stat and Comp Sci, Hyderabad, India

    Naresh Babu Muppalaneni

  • Annamacharya Inst. of Tech and Sci, Kadapa, India

    Vinit Kumar Gunjan

About the editors

Dr. M Naresh Babu obtained his PhD in computer Science/Bioinformatics from Acharya Nagarjuna University in India. He is currently an Assistant Professor at the C R Rao Advanced Institute for Mathematics, Statistics and Computer Science. His research interests are in the area of Cryptography and Bioinformatics.

Mr. Vinit Kumar Gunjan is an Assistant Professor at AITS, Rajampet India. He also serves as the Secretary of IEEE Computer Society of Hyderabad Chapter. He worked with Tata Consultancy Services and SET Noida before joining AITS. Vinit is member of several IEEE Societies, ACM, ACCS, IE and others. He has several National and International Publications to his credit

Bibliographic Information

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-981-287-338-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 69.99
Price excludes VAT (USA)