次の英文を和訳してください。
In this study, the researchers used "a powerful mathematical algorithm" to find the SNPs that would be most useful for them. It is increasingly common for biologists and other scientists to use algorithms, or step-by-step procedures, in analyzing date. An algorithm is often shown as a flowchart with decision points. At each decision point, the process will go in one direction or another. For example, after you read an email message you may make a simple decision: "Should I reply to this message?" If the answer is "Yes, reply" then the next decision point is "Should I reply immediately?" On the other hand, if the answer is "No, do not reply" then the next decision point is "Should I archive this message or throw it away?" That is, each alternative leads to its own path. At the end of the process, you will have either 1) read, replied to, and archived the message, 2) read, replied to, and deleted the message, 3) read and archived the message, or 4) read and deleted the message. Obviously, if such a simple decision can be charted out with so many alternatives and consequent final decisions, the complicated environment in which scientists work will require highly sophisticated algorithms. Without the use of computer-driven algorithms, there would not be enough time to explore all of the potential decision paths. Thus, new disciplines such as computational biology have arisen in order to support researchers in their quest for knowledge.
