Bioinformatics
Book ID: 2012
Author: Dr. Archna Sahay
ISBN: 978-93-90646-18-9
About Author
Dr. Archna Sahay, is working as Assistant professor in Rajiv Gandhi Institute of Information Technology and Biotechnology, Bharati Vidyapeeth, Deemed to be University, Pune. She worked as Assistant Professor in Department of Biotechnology, Dr. D. Y. Patil Arts, Commerce and Science College, Pimpri, Pune. She completed her Ph.D from School of Life Sciences, Devi Ahilya University, Indore. She awarded CSIR Research Associate and worked as CSIR RA in the Department of Bioinfoinformatics, Moulana Azad National Institute of Technology, Bhopal. She worked as Assistant professor in Department of Biotechnology, Extol College, Bhopal and Department of Biochemistry, Hislop College, Nagpur. She worked as reviewer for National and International Journals. She has presented research paper in National and International Conference. She secured rank in oral presentation and poster presentation in National and International Conference. She has published two books and 7 research papers in reputed international Journals.
Description
Contents
1. Introduction to Bioinformatics
1. History and Development of Bioinformatics
1.1 Introduction
1.2 What is Bioinformatics?
1.3 Branches of Bioinformatics
1.4 Aims of Bioinformatics
1.5 Scope of Bioinformatics
1.6 Application of Bioinformatics
1.7 Historical background
2. Relation of Bioinformatics with Biotechnology
2. Biological Databases
1. Introduction
2. Types of Biological Databases
2.1 Importance of Biological Databases
3. Nucleic Acid Databases (NCBI, DDBJ, GENBANK and EMBL)
3.1 NCBI
3.2 DDBJ
3.3 GENBANK
3.4 EMBL
4. Protein Databases (PDB, Swiss-Prot, Uniprot)
4.1 PDB
4.2 Swiss-Prot
4.3 Uniprot (The Universal Protein Resource)
5. Structure Databases
5.1 The Structural Classification of Proteins (SCOP)
5.2 PDBsum
6. Literature Databases
6.1 Pubmed
6.2 MEDLINE
3. Data Generation Tools
1. Introduction
2. What is Data Generation?
2.1 Storage and Retrieval of Data
2.2 Significance of Data Generation
2.3 Basic Tools of Data Generation
2.4 Next Generation Sequencing (NGS)
3. NGS Application
3.1 NGS Platforms
3.2 Workflow of NGS Data Analysis
3.3 Handling of NGS Data
4. Protein Sequencing
4.1 Determination of Amino Acid Composition
4.2 Sequence-Alignment Methods
4.3 Multiple-Sequence Alignment
4.4 Phylogenetic Analysis
4.5 Protein Properties and Structure Prediction
4.6 Protein vs Domain Classification
4.7 Protein Superfamily
5. NMR Spectroscopy
6. Microarray
6.1 Applications
6.2 Identification of Differentially Expressed Genes
4. Retrieval of Data
1. Introduction
2. Classification of Data
2.1 Objectives
2.3 Types of Classification
5. Sequence Alignments and Visualization
1. Introduction
1.1 Sequence Alignment
1.2 Dynamic Programming
2. Local Alignment and Global Alignment
2.1 Needleman-Wunsch Algorithm
2.2 Smith-Waterman Algorithm
6. Protein Structure and Visualization Tools
1. Introduction
2. Structure of Proteins
3. Visualization Tools
3.1 SPDBV/ Swiss-PdbViewer or DeepView
3.2 Pymol

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