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Bioinformatics Exercises

If you are looking for computational biology or bioinformatics exercises to use in your classes you are welcome to try these. I wrote them for my Bioinforamtics and Computational Biology courses at AAUP. Some of these exercises could be adapted for Competitiv examination as well.

As much as possible, exercises can standalone and, as such, can be of some utility to other instructors or students. The exercises are based on well established, stable web sites and books that will help you to hone your bioinformatics and computational biology knowledge. If it is necessary to use less reliable sites and/or resources, attempts have been made to provide multiple sites that perform similar functions. The stable online resources that you will use most frequently include: PDB, NCBI, EMBL, SwissProt, ExPASy, PubMed etc.

The exercises include some questions that have definite answers, but many questions may be answered in a number of ways, depending on the approach you take or the topic you select. In most cases, the answer key includes the definite answers. For some open-ended questions,a typical correct answer may be presented. Please note that because biological databases are continually being expanded by the addition of new entries, the results of some database queries , particularly quantitative results may appear to shift slightly over time.

I have added four Exercise in each topic. Exercise 1 and 2 is easier, that comes under Happy zone and Exercise 3 and 4 is in Wink zone that require good command and logic in computational biology.

Introduction:

Exercises 1 Exercises 2 Exercises 3 Exercises 4

General

Exercises 1 Exercises 2 Exercises 3 Exercises 4

BLAST

Exercises 1 Exercises 2 Exercises 3 Exercises 4

PubMed

Exercises 1 Exercises 2 Exercises 3 Exercises 4

MSA

Exercises 1 Exercises 2 Exercises 3 Exercises 4

Motif

Exercises 1 Exercises 2 Exercises 3 Exercises 4

R

Exercises 1 Exercises 2 Exercises 3 Exercises 4

Database Search

Exercises 1 Exercises 2 Exercises 3 Exercises 4

Gene Prediction

Exercises 1 Exercises 2 Exercises 3 Exercises 4

 

For help please contact: Jitendra Narayan


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