In science, we know WHY we need to discover new things. Thanks to the efforts of experimentation and our advance knowledge of scientific principles, we know WHAT we need to do. We know WHERE and WHEN we need to save lives. Computational Genomics is the question of HOW.

Using complex computer algorithms and technological processes, computational genomics is the process of deciphering and analyzing genetic data. Computational genomics is the study of how scientists seek to understand the vast and complex world of human genomics. Using increasingly intelligent technology, computational genomics analyzes, annotates, and deciphers the information gathered in research. [1]

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In an increasingly technological world, scientists waste so much time performing genomic sequence analysis by hand. Computational genomics looks to provide the technology that can perform these analyzations and annotations manually, giving researchers the time and energy they need to solve the world's next problems. Advances made in the field of computational genomics look to make genomic analysis easier and more efficient through the use of computation and algorithmic tools.

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Without the field of bioinformatics, under which computational genomics stems, data discovered (no matter how ground-breaking it is) has no way to be understood and shared. Computational genomics bridges that gap between the gathering and comprehension of data. Complex algorithms, computer codes, and software all put meaning to the raw DNA and RNA sequences generated in the lab. Computational genomics, therefore, is the science of putting the results of experiments into an analyzed language that is comprehensible, accessible, and insightful. With the help of computational genomics and bioinformatics as a whole, this information can change the world [2].

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