Difference between revisions of "BCH441 Final Exam"

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Exam Principles and Questions
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Exam Principles
 
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This is a collection of questions from final exams through the 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 and some parts that I would find less relevant today have been omitted. I think that the questions in this collection are thus going to be '''more useful and more relevant''' than copies of old exam questions.
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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 goal of the exam is to probe your understanding of key concepts and your skills in key procedures of bioinformatics. There is (I hope) only a bare minimum of pure memorization involved, mostly concerning the questions in the Amino Acids section. The other sections of the exam concern skills of interpreting molecular models, in particular stereo vision, and the judicious use of databases and procedures. A critical analysis of applications is another focus.
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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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*[[Application_Exam_Questions|'''Applications Exam Questions''']]
 
*[[Application_Exam_Questions|'''Applications Exam Questions''']]
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==Integrated questions==
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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]]
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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.