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Life follows patterns. The way life has evolved, how it is organized and how it responds to a stimulus are patterns that scientists aim to unravel. Mathematical and computational models that identify or use these biological patterns have a myriad of applications. When scientists sequence a billion-base genome, we look for sequence patterns that tell us how the organism evolved, how the expression of its genes is regulated, and even if the patterns can reveal the three-dimensional structure of a molecule and its interaction with others. The same can be applied when measuring the level of expression of thousands of genes and looking for patterns that tell us how genes are being regulated in a biological condition, or which ones can be used to predict a clinical outcome. Bioinformatics enables the computational analysis of the patterns generated by scientific experiments. Today, a single laboratory is capable of generating a vast amount of biological data. In addition, there is a wealth of data already available in public databases, which makes the modern life sciences almost dependent on bioinformatics. CONTINUE READING.....
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