Computational Phylogenetics Projects for Science Fairs

Before you can start working on computational phylogenetics projects for science fairs you need to know what computational phylogenetics are. Computational phylogenetics are computer science experiments that utilize computer technology to sequence DNA in order to trace genetic ancestry of specific organisms, disorders or characteristics. This is actually a very interesting science concept to work with.

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In order to use computational phylogenetics projects for science fairs you need to have access to the right equipment. You will need a powerful computer, DNA sequencing equipment and supplies and the right software. If you don't have access to this equipment you will either need to work with your local university or genetic laboratory.

There are several computational phylogenetics projects for science fairs that you can complete. The first is to create a phylogenetic tree. These trees are like geneaology trees for specific genes. For example, you can trace the geneaology for the trait for blue eyes. You can also try to create a phylogenetics tree for color blindness.

Since computational phylogenetics projects are advanced computer science fair experiments, they will require a lot of extra work. To begin with you will need to do extensive background research. This research will need to include exploring what computational phylogenetics are, how they are done and what has been discovered so far. You will also want to look at the types of projects that are already being done.

Next you will want to design free 8th grade science fair projects that look at this science concept, but in a way that is valuable to you. For example, if you have a disorder or physical trait that you would like to chart using this method, then that would be valuable to you. However, you can also look at traits like genetic predispositions for diabetes or obesity to see where this trait originated.

Pulling your project together is going to take weeks of work, so don't wait until the last minute. You will need at least two weeks for background research, one or more months for experimenting and running algorithms and several weeks to analyze your data, write your report and create your display. While procrastination is a common trait for students of all ages, putting things off to the last minute will only make you feel more stressed and overwhelmed then if you spread out your work and complete each step of your project according to a timeline created at the beginning of your project.