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E-raamat: Your Passport to a Career in Bioinformatics

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 04-Aug-2013
  • Kirjastus: Springer, India, Private Ltd
  • Keel: eng
  • ISBN-13: 9788132211631
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Your Passport to a Career in BioinformaticsSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 04-Aug-2013
  • Kirjastus: Springer, India, Private Ltd
  • Keel: eng
  • ISBN-13: 9788132211631
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The book is a ready reckoner aimed at the student community aspiring to take up a career in bioinformatics. The book firstly provides a perspective on the domain and addresses the challenges faced by community namely the attempts to understand data produced by genome sequencing projects. It then brings to light High Performance Computing (HPC) as it helps in interpreting and analyzing genome sequences. The book also dwells on how interactions in a systems (organism), the components that interact with each other and the outcome of such interactions. It then calls for a consensus on the tools like rapid and inexpensive DNA sequencing technologies, HAPMAP projects, Dollar One Genome (DOG), to enable a reader understand how bioinformatics transits from research, to vocation and avocation. Further it extols the virtues of in silico for bioinformatical predictions as it helps wet-lab biologists reduce time for experiments. Also it describes the intricacies of bioinformatics and its usefulness to wet-based biologists and other cross-disciplinarians. The book lists out 10 reasons for taking up bioinformatics as a career, and includes insights from global experts on the domain. It also makes a case for a mediocre student getting into bioinformatics with discipline, determination, dynamism and diligence. The book further describes BioinformaTICKS a tool for emerging as a winner in bioinformatics.

This book provides a practical introduction to the fascinating world of computational biology. It helps readers understand the domain of bioinformatics and make a conscious career choice and also includes opinions of global thought-leaders.
1 Whither Bioinformatics?
1(22)
1.1 Bioinformatics Aging in Systems Biology
6(1)
1.2 Defining Systems Biology Through Omics: The Two Paradigms
7(2)
1.3 Is Biology Explained Through Protein---Protein Interaction Networks Alone?
9(2)
1.4 Systems Biology in Wet Laboratory
11(1)
1.5 Metabolomics
12(1)
1.6 Mitochondriomics
12(1)
1.7 `Omic' Challenges in Systems Biology
13(2)
1.8 Are Interactions Based on the Nature of Binding?
15(1)
1.9 Fundamental and Best Practiced Tools for Annotating Proteins and Genes
16(3)
1.10 Can Bioinformatics Influence Animal Experimentation?
19(2)
1.11 Addendum: Results of Poll @ Bioinformatics.org
21(1)
1.12 Opinion of Few Scientists on Bioinformatics Influencing Animal Experimentation
21(2)
2 Ten Reasons One Should take Bioinformatics as Career
23(6)
2.1 Bioinformatics is Challenging and One is Free to Respect Open Access
24(1)
2.2 It Delves into Predictions but bona fidelity is the Means for Predicting Genes
24(1)
2.3 Intelligent and Efficient Storage of Data is the Key
25(1)
2.4 Development of Tools and Programs Making Wet Lab Biologists Ease their Experiments
25(1)
2.5 It is Multifaceted and Brings Networking Among Cross Disciplinarian
25(1)
2.6 It may Partly Influence Animal Experiments
26(1)
2.7 Bioinformatics Curation, not Annotation is the Key for Databases
27(1)
2.8 Use of Bioinformatics Methods Propel Contract Research Organizations
27(1)
2.9 Instigates Core Programmers and Developers to Enthuse Bioinformatics in them
27(1)
2.10 It is Dynamic and so is Inviting to be Entrepreneurial
27(2)
3 Developing Bioinformatics Skills
29(20)
3.1 Be Devoted
31(1)
3.2 Be Determined
31(1)
3.3 Bioinformatics and the Three Cs of Research
32(1)
3.4 Consistency
33(1)
3.5 Hate Wet-Laboratory Work?
34(1)
3.6 Coping the Pressure of Experimental Work
34(1)
3.7 From `Hands-on in vitro' to Hands-on in Silico
35(5)
3.7.1 Correlating and Identifying Statistically Significant Causality Data
36(1)
3.7.2 Brief Methods
37(1)
3.7.3 Interpreting the Results Based on Preliminary Analyses Using PPA
38(1)
3.7.4 Predicting the Antigens Immunizing the Groups
39(1)
3.7.5 Conclusions
39(1)
3.7.6 Bottom Line
39(1)
3.8 Case Study on Nematome: Protein Interactions Specific to Parasitism in Nematodes
40(3)
3.8.1 Methods
42(1)
3.8.2 Interaction Analyses
42(1)
3.8.3 Dry-Laboratory/Bioinformatics
42(1)
3.9 Tips and Traps in Writing a Research Article in Bioinformatics
43(1)
3.10 Convert Ideas and Thoughts into Action for a Strong Problem Formulation
44(5)
3.10.1 Address the Problem Well with Subheadings
45(1)
3.10.2 Plan your Next Steps and Always give Plenty of Time
46(1)
3.10.3 Discuss with your Peers
46(1)
3.10.4 Accept Constructive Criticism
47(1)
3.10.5 Publish or Perish is the Key While Citing and Cross-Referring Other Articles of Interest
47(1)
3.10.6 Peer Review Holds an Important Community Service
47(2)
4 The Esoteric of Bioinformatics
49(6)
4.1 Bioinformatics Market: Hype or Hope?
49(1)
4.2 Decoding Genes Using Genealogy: What Bioinformatics Can Dog
50(1)
4.3 Communication Between Organelles and the Genes
50(1)
4.4 Pull-Down Assays and the Role of Bioinformatics
51(2)
4.5 Say `Ome' Using Essential Bioinformatical Indicators
53(1)
4.6 Ten Career Options to Opt Through Bioinformatics
53(2)
5 Common Minimum Standards: A Syllabus for Bioinformatics Practitioners
55(2)
6 Colloquial Group Discussion on Bioinformatics: Grand Challenges
57(10)
6.1 Opinion of Bioinformatics Practitioners
58(9)
7 The Bioinforma `TICKS': Frequently Asked Questions
67(4)
About the Author 71(2)
Bioinformatics Cross Word 73(2)
Epilogue 75(2)
References 77
Prashanth Suravajhala is a Post Doctoral Scientist and a virtual entrepreneur who founded Bioclues.org in 2005. He is also serving as an Associate Director of Bioinformatics.org, and has wide interests in lieu of Functional Genomics and Systems Biology of Hypothetical Proteins in Human, specifically targeted to Mitochondria. He loves mentoring undergrads who want to pursue Bioinformatics. Dr. Suravajhala has completed his PhD from Aalborg Universitet, Denmark. He has published 20 papers in international peer reviewed journals.
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