Difference between revisions of "BCH441 Final Exam"
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| − | + | The final exam will ask you to demonstrate your skills at evidence based reasoning. You will receive a scenario and an extensive set of related bioinformatics analysis results. You will answer a small number of short-answer questions by interpreting the analysis, but you will need to figure out your solution strategy, what data to use for each step in your strategy and what data is redundant or superfluous. | |
| − | The | + | This format was first used in 2013. The exam should be available through the Faculty's exam repository. Below, there is a collection of exam questions from previous years. It is not comprehensive, and, since the course emphasis is slightly different each year, not all questions would have been covered in class every year. This collection is not an archive - the questions have been edited for clarity wherever appropriate. |
I have not provided model answers because I feel the actual answers would distract from your work with the questions. The goal here is not ''to know the answer'' but to '''master the process''' of identifying evidence and integrating it. | I have not provided model answers because I feel the actual answers would distract from your work with the questions. The goal here is not ''to know the answer'' but to '''master the process''' of identifying evidence and integrating it. | ||
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*[[Tools_Exam_Questions|'''Tools Exam Questions''']] | *[[Tools_Exam_Questions|'''Tools Exam Questions''']] | ||
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==Applications== | ==Applications== | ||
Bioinformatics and computational biology are huge and growing areas of active research with a dynamic array of subspecialities - phylogenetic analysis has advanced in leaps and bounds with the availablity of molecular data, genomic-, transcriptomic-, proteomic and other cross-sectional views are slowly beginning to unravel some of the intricacies of the cell's inner workings, predictive models for molecular medicine and bioengineering may help shape our society's future. These tasks are what motivates bioinformatics worldwide, seeking to develp novel ways to reason about biology... | Bioinformatics and computational biology are huge and growing areas of active research with a dynamic array of subspecialities - phylogenetic analysis has advanced in leaps and bounds with the availablity of molecular data, genomic-, transcriptomic-, proteomic and other cross-sectional views are slowly beginning to unravel some of the intricacies of the cell's inner workings, predictive models for molecular medicine and bioengineering may help shape our society's future. These tasks are what motivates bioinformatics worldwide, seeking to develp novel ways to reason about biology... | ||
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| + | *[[Application_Exam_Questions|'''Applications Exam Questions''']] | ||
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| + | ==Integrated questions== | ||
| + | Many of the exams integrate various aspects of a topic from different perspectives. Here are the integrated questions, all together. | ||
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| + | *[[Integrated_Exam_Questions|'''Integrated Exam Questions''']] | ||
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| + | [[Category: Bioinformatics]] | ||
| + | </div> | ||
Latest revision as of 15:22, 9 September 2014
Exam Principles
The final exam will ask you to demonstrate your skills at evidence based reasoning. You will receive a scenario and an extensive set of related bioinformatics analysis results. You will answer a small number of short-answer questions by interpreting the analysis, but you will need to figure out your solution strategy, what data to use for each step in your strategy and what data is redundant or superfluous.
This format was first used in 2013. The exam should be available through the Faculty's exam repository. Below, there is a collection of exam questions from previous years. It is not comprehensive, and, since the course emphasis is slightly different each year, not all questions would have been covered in class every year. This collection is not an archive - the questions have been edited for clarity wherever appropriate.
I have not provided model answers because I feel the actual answers would distract from your work with the questions. The goal here is not to know the answer but to master the process of identifying evidence and integrating it.
Amino Acids
Of all data abstractions in bioinformatics, the one-letter amino acid code is the most important one. Whether you are evaluating multiple sequence alignments, database searches or mutational studies, this all requires a confident understanding of the physicochemical nature of the residues you are considering and of course knowing which letters correspond to which amino acids...
Stereo Vision
Molecules are three-dimensional entities and stereo-vision of images on paper and on the screen is one of the most powerful, intuitive ways to appreciate that. We have practiced stero-vision in this course; here are a number of situations that require spatial awareness...
Databases
One aspect of Bioinformatics concerns itself with the storage, organisation, and retreival of biological information. The questions in this section consider the contents and use of some of the key abstractions (sequences, structures, graphs ...) that we deal with, and the databases we store them in.
Tools
Another aspect of bioinformatics concerns algorithms: computational tools that allow us to analyse the data and support our inferences...
Applications
Bioinformatics and computational biology are huge and growing areas of active research with a dynamic array of subspecialities - phylogenetic analysis has advanced in leaps and bounds with the availablity of molecular data, genomic-, transcriptomic-, proteomic and other cross-sectional views are slowly beginning to unravel some of the intricacies of the cell's inner workings, predictive models for molecular medicine and bioengineering may help shape our society's future. These tasks are what motivates bioinformatics worldwide, seeking to develp novel ways to reason about biology...
Integrated questions
Many of the exams integrate various aspects of a topic from different perspectives. Here are the integrated questions, all together.
