Computational Management of Molecular Biological Information
Course objectives |
| Through the late 80's to early 90's, management of information from the exponentially growing number of experimental studies in molecular biology had been limited to simple events such as publications management. Since the advent of large scale sequencing of human and other genomes, a variety of tools for the computational management of molecular biological information have been developed. Such tools can store, retrieve, and manipulate nucleic acid and protein sequences, aid in gene expression studies in the context of biomedical applications, or help in deducing evolutionary relationships at the molecular level. In this course, the student will learn, through lectures and hands-on laboratory exercises, a compendium of algorithms that can search for sequence similarities, create alignments for finding consensus sequences, model 3-dimensional structures, and more. As an introduction to this World Wide Web-based course, the student will also learn fundamentals of Internet browsers, search engines, the Unix operating system, and database methodologies. |
Author |
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Narayanan B. Perumal, Ph. D., MSIS |
Course contents |
| The course is laid out in the following modules and the educational material covered in these Web-based instructions is more often to be in an outline format than as in a full course text. |
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Module 1: General Biocomputing Applications Module 2: Storage, Retrieval and Manipulation of DNA Information (General Themes) Module 3: DNA Databases and Sequence Queries Module 4: Similarity Searches Module 5: Sequence Alignments Module 6: Structure-Function Relationships Module 7: Molecular Computing with RNA Sequences Module 8: Phylogenetic Analysis Module 9: Gene Expression & Miscellaneous Topics |