<p style="text-align:justify">Developed in accordance with the <strong>ICAR Sixth Deans&#39; Committee curriculum and learning outcomes</strong>, this book transforms the multidisciplinary field of Bioinformatics into concise, high-yield, and examination-focused learning material for undergraduate and postgraduate students of Agriculture, Biotechnology, Life Sciences, and allied disciplines. The text bridges biological concepts with computational approaches through a clear, systematic, and student-friendly presentation.</p> <p style="text-align:justify">The book compresses the core domains of bioinformatics&mdash;from biological databases and information retrieval to genome analysis, sequence alignment, phylogenetics, profile-based methods, gene prediction, transcriptomics, protein structure analysis, systems biology, and computational drug discovery&mdash;into easy-to-understand notes supported by diagrams, flowcharts, and comparative tables.</p> <p style="text-align:justify">Each chapter begins with crisp definitions, fundamental principles, and important formulae, followed by algorithms, parameter settings, and result interpretation strategies. Side-by-side tool comparison sheets provide quick reference to major bioinformatics resources and software, including their inputs, key parameters, outputs, applications, and limitations.</p> <p style="text-align:justify">Worked examples and numericals explain concepts such as E-values and log-odds scores, substitution matrices, multiple testing corrections (FDR), cross-validation statistics, docking scores, and QSAR parameters. Special emphasis is placed on understanding parameter selection, avoiding common interpretation errors, and developing analytical reasoning skills essential for competitive examinations and research applications.</p> <p style="text-align:justify"><strong>Key Features</strong><br /> &bull; Strictly aligned with the <strong>ICAR Sixth Deans&#39; Committee syllabus and course outcomes</strong><br /> &bull; Crisp definitions, concept notes, formulae, and diagram-based explanations<br /> &bull; Flowcharts for major bioinformatics pipelines including RNA-seq, variant calling, homology modelling, and virtual screening<br /> &bull; Comparative &ldquo;Choose-the-Tool&rdquo; tables for rapid revision and decision-making<br /> &bull; Parameter boxes covering gap penalties, word size, HMM thresholds, differential expression cut-offs, and validation criteria<br /> &bull; Interpretation cues addressing E-value misconceptions, overfitting in QSAR studies, and docking pose validation<br /> &bull; Solved numericals on E-values, substitution matrices, FDR calculations, cross-validation metrics, docking scores, and QSAR statistics<br /> &bull; Unit-wise MCQs (single-best answer and numerical), Assertion&ndash;Reason, Match-the-Pairs, and mini caselets with answer keys and explanations<br /> &bull; Useful for university examinations, ICAR and State Agricultural University examinations, ASRB-NET (fundamentals), DBT-BET/JRF, and other competitive examinations in bioinformatics and computational biology</p> <p style="text-align:justify">By integrating computational principles with biological applications and examination-oriented presentation, this book serves as a comprehensive learning and revision companion for students pursuing Bioinformatics under the <strong>ICAR Sixth Deans&#39; Committee framework</strong>, while simultaneously providing a strong foundation for advanced studies and research in computational biology, genomics, and systems biology.</p>

Amit Kumar is a skilled Data Analyst with a Master’s degree in Data Analytics and over six years of professional experience. He holds certifications as a Microsoft Power BI Data Analyst Associate and a Tableau Developer. His expertise spans data analysis, visualization, data warehousing, ETL processes, and business intelligence, with proficiency in tools such as Power BI, Tableau, SQL, Python, and Alteryx. He has a strong track record of delivering data-driven insights to Fortune 500 clients in finance and pharmaceuticals while working in agile environments.

Currently, Amit works at Cloud Intersoft Limited, partnering with the Bank of Ireland, where he develops business intelligence solutions for data science and technical service teams. His responsibilities include financial data analysis, SQL development, and designing BI dashboards in Tableau and Power BI. His work has significantly improved issue response times through the implementation of early warning indicators and automated data alerts.

Previously, Amit served as a Senior Consultant at EY, where he analyzed finance datasets, created Power BI dashboards, and conducted training for peers. At Alexion Pharmaceuticals, he worked as a Data Engineer, building ETL pipelines, managing data validation, and enabling agile reporting for the Quality Management System team. His earlier role at CGI involved designing a centralized data warehouse for clinical trial data, leading a small team, and improving reporting efficiency through automation and cloud migration.

Academically, Amit earned his Master’s in Data Analytics from Dublin City University and a Bachelor’s in Computer Science and Engineering from Cochin University of Science and Technology. His studies covered machine learning, data mining, visualization, and cloud computing. With strong technical skills, leadership experience, and a proven ability to optimize data processes, Amit is well-positioned to drive impactful business intelligence and analytics solutions.

Pranav Praveen holds a B.Tech in Information Technology from B.P. Poddar Institute of Management and Technology, Kolkata, graduating with a CGPA of 8.97. Since November 2024, he has been working as a Programmer Analyst Trainee at Cognizant Technology Solutions in Bengaluru. Pranav has hands-on experience with programming languages and frameworks including C++, C, Java, Spring, Spring Boot, Angular, HTML, JavaScript, and ReactJS. He also possesses a strong foundation in core computer science subjects such as Data Structures and Algorithms, Object-Oriented Programming, Computer Networks, Operating Systems, and SQL.

Pranav has worked on two notable projects: SoloBeats, a music player application, and RoomerUp, a platform that enables PG owners to list and manage their properties online. Beyond academics, he has consistently performed at a high level, securing top ranks in various Science, Mathematics, and Cyber Olympiads, as well as the Dabur Quiz Competition. He is certified in C++ by Coding Ninjas and holds a Problem Solving certification from Hackerrank. In the competitive programming community.

<p style="text-align:justify">1 Information Search and Data Retrieval,Bioinformatics and Biocomputation</p> <p style="text-align:justify">2 Genome Analysis and Gene Mapping, Bioinformatics and Biocomputation</p> <p style="text-align:justify">3 Alignment of Pairs of Sequences, Alignment of Multiple Sequences and Phylogenetic Analysis,Bioinformatics and Biocomputation</p> <p style="text-align:justify">4 Tools for Similarity Search and Sequence Alignment, Bioinformatics and Biocomputation</p> <p style="text-align:justify">5 Profiles and Hidden Markov Models,Bioinformatics and Biocomputation</p> <p style="text-align:justify">6 Gene Identification and Prediction, Gene Expression Analyses,Bioinformatics and Biocomputation</p> <p style="text-align:justify">7 Protein Classification and Structure Analysis.Bioinformatics and Biocomputation</p> <p style="text-align:justify">8 Visualization, Protein Structure Prediction,Bioinformatics and Biocomputation</p> <p style="text-align:justify">9 Computational Methods for Pathway and Systems Biology,Bioinformatics and Biocomputation</p> <p style="text-align:justify">10 Technologies and Strategies for Drug Discovery in Bioinformatics and Biocomputation</p> <p style="text-align:justify">11 Biomarkers in Drug Development, Computer-Aided Drug Design in Bioinformatics and Biocomputation</p>