Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it mostly focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes.
Unlike other bioinformatics books which are mostly theoretical, this book provides practical examples for the readers on state-of-the-art open source tools to solve biological problems. Flow charts of experiments, graphical illustrations, and mock data are included for quick reference. Volume I is therefore an ideal companion for students and early stage professionals wishing to master this blooming field. 

<p>o   Introduction To Biological Data</p> <p>o   Computers and Bioinformatics </p><p>o   Biological Databases</p> <p>o   Sequence Biological Databases </p><p>o   Structural Biological Databases</p> <p>o   Other Biological Databases </p> <p>o   Sequence Bioinformatics</p> <p>o   Basic Understanding Of Sequence Analysis</p> <p>o   Introduction To Sequence Technologies</p> <p>  First generation</p> <p>   Second Generation</p>   Next Generation Technologies<p></p> <p>·         Exome</p> ·         Genome<p></p> <p>·         Sequence Alignment</p> <p>   Pairwise Seq Alignment</p> <p>   Multiple Seq Alignment </p> <p>   Phylogenetic Analysis</p> <p>o   Functional Bioinformatics</p> <p>o   Introduction To Functional Bioinformatics</p> <p>o   RNA-Seq</p> <p>o   Micro Array And Its Analysis</p> o   Biological Networks   Gene Expression Profile Analysis<p></p> <p>o   GO-Annotation</p> o   Metabolomics <p></p> <p>o   Structural Bioinformatics</p> ·         Introduction To Proteins (If Needed)<p></p> <p>·         Protein Structural Predictions </p> <p>o   Ab-Intio Protein Predictions </p> <p>o   Homology Predictions</p> <p>o   Protein Motif And Domain Identification</p> ·         Rna Structure Predictions<p></p> <p>o   Drug Discovery</p> ·         Basic introduction to Drug Designing Approaches <p></p> <p>·         Computer Aided Drug Design</p> <p>o   Drug Like Properties</p> <p>o   Drug Physicochemical Properties</p> <p>o   Molecular Docking </p>