Unit 5 – Biological Database Management (804) (IMSC BIOINFORMATICS) Full Notes This module introduces key concepts in bioinformatics, focusing on Multiple Sequence Alignment (MSA) and Expressed Sequence Tags (ESTs). You will learn how biological sequences are aligned to identify conserved regions, infer evolutionary relationships, and predict structure and function. The content also covers major MSA methods, tools like ClustalW and T-Coffee, and explains how ESTs are generated and used for gene discovery, genome annotation, and functional genomics.

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Unit 4 – Biological Database Management (804) (IMSC BIOINFORMATICS) Full Notes This module introduces the core concepts of sequence alignment and its central role in bioinformatics. You will learn how DNA, RNA, and protein sequences are compared to identify similarities, conserved regions, and evolutionary relationships. The content explores different types of alignments, scoring matrices such as PAM and BLOSUM, and widely used tools like BLAST and FASTA. It also covers advanced algorithms including Smith–Waterman and PSI-BLAST, along with concepts like PSSM, helping you understand how sequence analysis supports functional prediction, evolutionary studies, and modern biological research.

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Unit 3 – Biological Database Management (804) (IMSC BIOINFORMATICS) Full Notes This module provides a comprehensive overview of the National Center for Biotechnology Information (NCBI) and its critical role in bioinformatics. You will learn about the NCBI data model, including how biological data such as DNA, RNA, and proteins are structured, stored, and interconnected. The content covers major databases like GenBank, genome and protein databases, and the Entrez system for data retrieval.

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Unit 2 – Biological Database Management (804) (IMSC BIOINFORMATICS) Full Notes This section covers the core principles of database design, management, and security. You will learn what data normalization is and understand the different normal forms used to organize data efficiently and reduce redundancy. It also introduces DBMS concepts, including its key functions such as data storage, retrieval, updating, catalog management, and backup and recovery. Additionally, the module explores database and network security challenges in the modern world, explains the process and techniques of normalization, and highlights the differences between data mining and data warehousing.

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Unit 1 – Biological Database Management (804) (IMSC BIOINFORMATICS) Full Notes What is database model ? Describe various data model and explain the detail about object oriented relational data model. What is SQL ? Write down about the Data Definition Language. What is DBMS ? How to interact with the DBMS ? Explain in detail SQL statements for creating a table, joining two tables, insert data into the table, updating data in a table.

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