Description

Book Synopsis
An accessible guide that introduces students in all areas of life sciences to bioinformatics Basic Applied Bioinformatics provides a practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusions from the results.

Table of Contents

PREFACE, xi

ACKNOWLEDGEMENTS, xiii

LIST OF ABBREVIATIONS, xv

SECTION I Molecular Sequences and Structures

1 Retrieval of Sequence(s) from the NCBI Nucleotide Database, 3

2 Retrieval of Protein Sequence from UniProtKB, 9

3 Downloading Protein Structure, 15

4 Visualizing Protein Structure, 19

5 Sequence Format Conversion, 23

6 Nucleotide Sequence Analysis Using Sequence Manipulation Suite (SMS), 31

7 Detection of Restriction Enzyme Sites, 43

SECTION II Sequence Alignment

8 Dot Plot Analysis, 53

9 Needleman–Wunsch Algorithm (Global Alignment), 59

10 Smith–Waterman Algorithm (Local Alignment), 67

11 Sequence Alignment Using Online Tools, 73

SECTION III Basic Local Alignment Search Tools

12 Basic Local Alignment Search Tool for Nucleotide (BLASTn), 81

13 Basic Local Alignment Search Tool for Amino Acid Sequences (BLASTp), 91

14 BLASTx, 103

15 tBLASTn, 109

16 tBLASTx, 113

SECTION IV Primer Designing and Quality Checking

17 Primer Designing – Basics, 121

18 Designing PCR Primers Using the Primer3 Online Tool, 125

19 Quality Checking of the Designed Primers, 139

20 Primer Designing for SYBR Green Chemistry of qPCR, 147

SECTION V Molecular Phylogenetics

21 Construction of Phylogenetic Tree: Unweighted]Pair Group Method with Arithmetic Mean (UPGMA), 151

22 Construction of Phylogenetic Tree: Fitch Margoliash (FM) Algorithm, 159

23 Construction of Phylogenetic Tree: Neighbor]Joining Method, 165

24 Construction of Phylogenetic Tree: Maximum Parsimony Method, 175

25 Construction of Phylogenetic Tree: Minimum Evolution Method, 183

26 Construction of Phylogenetic Tree Using MEGA7, 187

27 Interpretation of Phylogenetic Trees, 197

SECTION VI Protein Structure Prediction

28 Prediction of Secondary Structure of Protein, 211

29 Prediction of Tertiary Structure of Protein: Sequence Homology, 217

30 Protein Structure Prediction Using Threading Method, 223

31 Prediction of Tertiary Structure of Protein: Ab Initio Approach, 229

32 Validation of Predicted Tertiary Structure of Protein, 235

SECTION VII Molecular Docking and Binding Site Prediction

33 Prediction of Transcription Binding Sites, 243

34 Prediction of Translation Initiation Sites, 251

35 Molecular Docking, 257

SECTION VIII Genome Annotation

36 Genome Annotation in Prokaryotes, 265

37 Genome Annotation in Eukaryotes, 269

SECTION IX Advanced Biocomputational Analyses

38 Concepts of Real]Time PCR Data Analysis, 275

39 Overview of Microarray Data Analysis, 283

40 Single Nucleotide Polymorphism (SNP) Mining Tools, 289

41 In Silico Mining of Simple Sequence Repeats (SSR) Markers, 299

42 Basics of RNA]Seq Data Analysis, 305

43 Functional Annotation of Common Differentially Expressed Genes, 313

44 Identification of Differentially Expressed Genes (DEGs), 325

45 Estimating MicroRNA Expression Using the miRDeep2 Tool, 357

46 miRNA Target Prediction, 365

Appendices

Appendix A: Usage of Internet for Bioinformatics, 377

Appendix B: Important Web Resources for Bioinformatics Databases and Tools, 381

Appendix C: NCBI Database: A Brief Account, 389

Appendix D: EMBL Databases and Tools: An Overview, 395

Appendix E: Basics of Molecular Phylogeny, 403

Appendix F: Evolutionary Models of Molecular Phylogeny, 411

GLOSSARY, 415

REFERENCES, 423

WEBLIOGRAPHY, 431

INDEX, 435

Basic Applied Bioinformatics

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    A Hardback by Chandra Sekhar Mukhopadhyay, Ratan Kumar Choudhary, Mir Asif Iquebal

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      Publisher: John Wiley and Sons Ltd
      Publication Date: 14/11/2017
      ISBN13: 9781119244332, 978-1119244332
      ISBN10: 1119244331

      Description

      Book Synopsis
      An accessible guide that introduces students in all areas of life sciences to bioinformatics Basic Applied Bioinformatics provides a practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusions from the results.

      Table of Contents

      PREFACE, xi

      ACKNOWLEDGEMENTS, xiii

      LIST OF ABBREVIATIONS, xv

      SECTION I Molecular Sequences and Structures

      1 Retrieval of Sequence(s) from the NCBI Nucleotide Database, 3

      2 Retrieval of Protein Sequence from UniProtKB, 9

      3 Downloading Protein Structure, 15

      4 Visualizing Protein Structure, 19

      5 Sequence Format Conversion, 23

      6 Nucleotide Sequence Analysis Using Sequence Manipulation Suite (SMS), 31

      7 Detection of Restriction Enzyme Sites, 43

      SECTION II Sequence Alignment

      8 Dot Plot Analysis, 53

      9 Needleman–Wunsch Algorithm (Global Alignment), 59

      10 Smith–Waterman Algorithm (Local Alignment), 67

      11 Sequence Alignment Using Online Tools, 73

      SECTION III Basic Local Alignment Search Tools

      12 Basic Local Alignment Search Tool for Nucleotide (BLASTn), 81

      13 Basic Local Alignment Search Tool for Amino Acid Sequences (BLASTp), 91

      14 BLASTx, 103

      15 tBLASTn, 109

      16 tBLASTx, 113

      SECTION IV Primer Designing and Quality Checking

      17 Primer Designing – Basics, 121

      18 Designing PCR Primers Using the Primer3 Online Tool, 125

      19 Quality Checking of the Designed Primers, 139

      20 Primer Designing for SYBR Green Chemistry of qPCR, 147

      SECTION V Molecular Phylogenetics

      21 Construction of Phylogenetic Tree: Unweighted]Pair Group Method with Arithmetic Mean (UPGMA), 151

      22 Construction of Phylogenetic Tree: Fitch Margoliash (FM) Algorithm, 159

      23 Construction of Phylogenetic Tree: Neighbor]Joining Method, 165

      24 Construction of Phylogenetic Tree: Maximum Parsimony Method, 175

      25 Construction of Phylogenetic Tree: Minimum Evolution Method, 183

      26 Construction of Phylogenetic Tree Using MEGA7, 187

      27 Interpretation of Phylogenetic Trees, 197

      SECTION VI Protein Structure Prediction

      28 Prediction of Secondary Structure of Protein, 211

      29 Prediction of Tertiary Structure of Protein: Sequence Homology, 217

      30 Protein Structure Prediction Using Threading Method, 223

      31 Prediction of Tertiary Structure of Protein: Ab Initio Approach, 229

      32 Validation of Predicted Tertiary Structure of Protein, 235

      SECTION VII Molecular Docking and Binding Site Prediction

      33 Prediction of Transcription Binding Sites, 243

      34 Prediction of Translation Initiation Sites, 251

      35 Molecular Docking, 257

      SECTION VIII Genome Annotation

      36 Genome Annotation in Prokaryotes, 265

      37 Genome Annotation in Eukaryotes, 269

      SECTION IX Advanced Biocomputational Analyses

      38 Concepts of Real]Time PCR Data Analysis, 275

      39 Overview of Microarray Data Analysis, 283

      40 Single Nucleotide Polymorphism (SNP) Mining Tools, 289

      41 In Silico Mining of Simple Sequence Repeats (SSR) Markers, 299

      42 Basics of RNA]Seq Data Analysis, 305

      43 Functional Annotation of Common Differentially Expressed Genes, 313

      44 Identification of Differentially Expressed Genes (DEGs), 325

      45 Estimating MicroRNA Expression Using the miRDeep2 Tool, 357

      46 miRNA Target Prediction, 365

      Appendices

      Appendix A: Usage of Internet for Bioinformatics, 377

      Appendix B: Important Web Resources for Bioinformatics Databases and Tools, 381

      Appendix C: NCBI Database: A Brief Account, 389

      Appendix D: EMBL Databases and Tools: An Overview, 395

      Appendix E: Basics of Molecular Phylogeny, 403

      Appendix F: Evolutionary Models of Molecular Phylogeny, 411

      GLOSSARY, 415

      REFERENCES, 423

      WEBLIOGRAPHY, 431

      INDEX, 435

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