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Bioinformatics: Biology Buzzword
 
Biology data is growing at a rate faster than Moore's Law, the observation that the number of transistors on a chip doubles every 18 months. The trace files of nucleotide sequence data for one human would take up 300 trillion bytes. All this raw knowledge that needed to be analyzed, stored, and spread to other biologists created the field of bioinformatics. Bioinformatics is a general term meaning using computers in biological research. The word itself is so new that most dictionaries don't include it.

Bioinformatics emerged as a field as biology technology increased and the amount of data grew. As the amount of data that researchers found increased, they turned more and more to computers to help them to store, share, and search through the information. But bioinformatics is a tool used by biologists, not a new science in itself. Scientists use computers for two important tasks, data mining and sharing data.

Biologists also share data on an ever-growing number of databases. Sites such as GenBank and MedLine have abstracts and sequences for the researchers to search and use through the web. Medline alone has 11 million abstracts.

Using a computer to find information from large amounts of data is called data mining. Data mining is used for such things as testing hypotheses in silico before scientists test the hypothesis in real experiments and for searching for similarities within and between genomes. Though most biologists' interests are far broader than just sequences of genomes, these techniques are never-the-less useful tools for finding information.

All this new technology and data means that biology is no longer the field it used to be. Dr. Stephen Scott from the department of Computer Science and Engineering at the University of Nebraska-Lincoln says, "A strong background in math and computer science is essential for most, if not all, new biologists today. The sheer volume of data mandates it." The old techniques used by biologists have not been forgotten, but changed. For example, in the past, scientists studying the organelles of a cell would have each studied a separate organelle. With bioinformatics, the focus switches so the scientists use the computer to list all the organelles and find out how they relate to one another.

If a biologist is working on any project that generates protein structure, microray work, or molecular markers, they need bioinformatics to help them deal with the immense amount of data. Dr. Michael Fromm, professor of agronomy at the University of Nebraska-Lincoln and director of the Center for Biotechnology says, "Every biology major will have to get some experience with bioinformatics."

With the change in biology, schools need to keep up. One high school biology teacher said, "I try to keep up, but when I was in college, most of this stuff hadn't even been thought of yet." Since bioinformatics is just a buzzword for a certain tool used by biologists, finding information on the subject can be difficult, much less what to incorporate into a classroom. Bioinformatics is so many things, it is hard to find one aspect to focus on and teach.

Bridging the gap are a number of websites, books, and programs for both teachers and students to help people better understand this new technology.

Bioinformatics: The machine learning approach by Baldi and Brunak uses both simple and complex examples to help the reader understand bioinformatics and what it can do. The most useful element of the book is the listing of other resources on various aspects of the subject.

Some programs have websites on bioinformatics. One of the most useful is the Biology Student Workbench, an offshoot of the Biology Workbench used by researchers. The Biology Student Workbench has curricular material aimed at high school students on bioinformatics, along with examples of biology teachers using bioinformatics in the classroom.

Finally, many universities are starting programs to help train both teachers and students in this new field. The University of Nebraska-Lincoln is planning an introductory course in bioinformatics for high school teachers for next summer. They are also looking to incorporate internships for high school students in the future.