his book compresses the bioinformatics core—search & retrieval → genomes & mapping → pair/MSA alignments & phylogeny → HMM/profiles → gene finding & expression → protein structure → pathways/systems → drug discovery & biomarkers—into high-yield, exam-oriented notes. Each chapter starts with definitions and formulas, then moves to algorithms, parameters, and result interpretation with side-by-side tool cheat-sheets (inputs, key flags, outputs, pitfalls). Worked numericals cover E-value/log-odds, substitution matrices, multiple testing (FDR), cross-validation metrics, docking scores, QSAR statistics. End-matter includes unit-wise MCQs (single-best & numerical), Assertion–Reason, Match-the-pairs, and mini caselets with brief keys—ideal for ICAR/SAU PG entrances, ASRB-NET (basics), DBT-BET/JRF, and university exams.

Scoring aids

• Flowcharts for pipelines (RNA-seq, variant calling, homology modeling, virtual screening)

• “Choose-the-tool” tables (BLAST vs HMMER; ClustalΩ vs MUSCLE vs MAFFT; AUGUSTUS vs GeneMark)

• Parameter boxes (gap penalties, word size, HMM thresholds, DE cutoffs)

• Interpretation cues (E-value traps, overfitting in QSAR, docking pose validation)

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.

1 Information Search and Data Retrieval,Bioinformatics and Biocomputation

2 Genome Analysis and Gene Mapping, Bioinformatics and Biocomputation

3 Alignment of Pairs of Sequences, Alignment of Multiple Sequences and Phylogenetic Analysis,Bioinformatics and Biocomputation

4 Tools for Similarity Search and Sequence Alignment, Bioinformatics and Biocomputation

5 Profiles and Hidden Markov Models,Bioinformatics and Biocomputation

6 Gene Identification and Prediction, Gene Expression Analyses,Bioinformatics and Biocomputation

7 Protein Classification and Structure Analysis.Bioinformatics and Biocomputation

8 Visualization, Protein Structure Prediction,Bioinformatics and Biocomputation

9 Computational Methods for Pathway and Systems Biology,Bioinformatics and Biocomputation

10 Technologies and Strategies for Drug Discovery in Bioinformatics and Biocomputation

11 Biomarkers in Drug Development, Computer-Aided Drug Design in Bioinformatics and Biocomputation