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What you'll be able to do (official learning outcomes)
describe the importance of bioinformatics and its significance in biotechnology
explain the different methods for biological data analysis, retrieval, classification and management
explain basics of sequence alignment and analysis
describe biological databases and database search tools
build phylogenetic trees and perform molecular phylogeny; and
describe various software used in biotechnological data processing and assessments
Course contents
Definitions and scope of bioinformatics for biotechnology. Computer science and biotechnology, computational biology. Use of computer for data analysis and processing, process optimization. Databases: searching, construction and retrieving information from database.
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study BTG 315.