Registry
Module Specifications
Current Academic Year 2012 - 2013
Please note that this information is subject to change.
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| Description | |||||||||||||||||||||||||||||||||||||||||
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This module builds on the foundation courses, particularly in Data Analysis, incorporating complementary information on computational and analytical methods. Provided is an introduction to Python and its structure for purposes of biodata processing, simulation and modelling principles and an overview of database construction and function, together with a review of major bioinformatics resources. A case study, illustrating the elements of an investigation, incorporating these features, will also be discussed. | |||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes | |||||||||||||||||||||||||||||||||||||||||
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1. 'demonstrate' that they understand Python simple command structure 2. 'demonstrate' that they understand how components of a database function/how queries are handled 3. 'demonstrate' that they appreciate the range of bioinfomatics resources 4. 'demonstrate' that they understand how basic models are formulated and simulation objectives 5. 'demonstrate' that they understand the steps involved in a formal investigation, based on a widely-used technology | |||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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| Indicative Content and Learning Activities | |||||||||||||||||||||||||||||||||||||||||
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Introduction to Databases. Definitions, hierarchy, DBMS, data Models and development, Common and current types. relationship definitions and classifications. Relational databases - in depth. Concepts, Constraints and types, Primary/foreign keys, SQL function and primer,Basic queries, clauses. Bio Databases. Primary, Secondary, compositeData types and stored informationExamples for sequence and structure. Simple Alignments and Beyond. Visual Methods and Similarity MeasuresScoring schemes and SubstitutionAutomating - Dynamic Programming & variantsHeuristics and h-methodsMSA/Algorithm outlines & tools and how it works - database search/alignmentExamplesSimple metrics to models for alignment - HMM /MarkovModel basis. Structure. Putting it together for predicting structureSimilarity scores and metricsProbabilistic models and simulation, MC,ANN, Homology models, MDResources and status quo on automation. | |||||||||||||||||||||||||||||||||||||||||
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| Indicative Reading List | |||||||||||||||||||||||||||||||||||||||||
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| Other Resources | |||||||||||||||||||||||||||||||||||||||||
| 1646, Frosch C., 0, A Short introduction to Biocomputing, http://www.imib.med.uni-rostock.de/bc4s/example.html, | |||||||||||||||||||||||||||||||||||||||||
| Relevant examples from the current literature will be selected for practical questions/illustrations. | |||||||||||||||||||||||||||||||||||||||||
| Programme or List of Programmes | |||||||||||||||||||||||||||||||||||||||||
| CAPD | PhD | ||||||||||||||||||||||||||||||||||||||||
| CAPM | MSc | ||||||||||||||||||||||||||||||||||||||||
| CAPT | PhD-track | ||||||||||||||||||||||||||||||||||||||||
| EEPD | PhD | ||||||||||||||||||||||||||||||||||||||||
| EEPM | MEng | ||||||||||||||||||||||||||||||||||||||||
| EEPT | PhD-track | ||||||||||||||||||||||||||||||||||||||||
| MBIO | MSc in Bioinformatics | ||||||||||||||||||||||||||||||||||||||||
| MEPD | PhD | ||||||||||||||||||||||||||||||||||||||||
| MEPM | MEng | ||||||||||||||||||||||||||||||||||||||||
| MEPT | PhD-track | ||||||||||||||||||||||||||||||||||||||||
| Timetable this semester: Timetable for CA658 | |||||||||||||||||||||||||||||||||||||||||
| Date of Last Revision | 08-JUN-11 | ||||||||||||||||||||||||||||||||||||||||
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