Bioinformatics and RNA

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A01=Dolly Sharma
A01=Mamta Mittal
A01=Shailendra Singh
algorithmic approaches for RNA analysis
Author_Dolly Sharma
Author_Mamta Mittal
Author_Shailendra Singh
Base Pair Probabilities
Base Pairs
Bulge Loop
Category=PSB
computational genomics
Context Free Grammar
Context Sensitive Grammar
Distance Based Clustering Method
DotNet bioinformatics
Dynamic Programming Models
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Hairpin Loop
Hanta Virus
Local Sequence Alignment
Marburg Virus
Molecular Phylogenetics
molecular sequence comparison
Multiple Sequence Alignment
phylogenetic inference techniques
Phylogenetic Tree Construction
RNA folding algorithms
RNA Secondary Structure
RNA Secondary Structure Prediction
SCFG
Sequence Alignment
sequence analysis methods
Standard Thermodynamic Parameters
Tree Adjoining Grammar
TYMV
TYMV RNA
Unrooted Phylogenetic Tree
UPGMA Algorithm
UPGMA Method

Product details

  • ISBN 9780367620578
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 25 Sep 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA.

The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field.

FEATURES

  • Offers a broad introduction to the explosively growing new discipline of bioinformatics
  • Covers theoretical topics and computational algorithms
  • Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery
  • Discusses implementation of algorithms in DotNet Frameworks with code
  • Presents insights into the state of the art and recent advancements in bioinformatics

The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.

Dr. Dolly Sharma is an Associate Professor at Amity University, Noida. Her research areas are Bioinformatics and Grid Computing.

Dr. Shailendra Singh is a Professor in the Computer Science and Engineering Department at Punjab Engineering College (Deemed to be University), Chandigarh, India. His research areas are Artificial Intelligence and Bioinformatics.

Dr. Mamta Mittal is working in the Department of CSE at G. B. Pant Engineering College, Delhi. Her research areas are Deep Learning and Soft Computing.

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