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<p><strong>Computational biology</strong> is biology that&nbsp;tries to solve biological problems using large amount of computational power and&nbsp;techniques from [[applied mathematics]], [[informatics]], [[statistics]], and [[computer science]].&nbsp;<br /><br /><strong>Bioinformatics and Compuational Biology</strong><br />Bioinformatics is an independant dscipline that was&nbsp;formed around mid 1990s. While computational biology is a more generic field of biology where much computing resource is necessary. They are different from each other in many ways. Biological informatics is essentially the reverse of Computational Biology as it is an informatics field where the major application is biological problems.<br /><br />Research in computational biology often overlaps with [[systems biology]]. Major research efforts in the field include [[sequence alignment]], [[Gene_finding|gene finding]], genome assembly, [[ protein structural alignment | protein structure alignment]], [[protein structure prediction]], prediction of [[gene expression]] and [[protein-protein interactions]], and the modeling of [[evolution]]. The terms ''bioinformatics'' and ''computational biology'' are often used interchangeably, although the latter typically focuses on algorithm development and specific computational methods. (In the biology-mathematics-computer science triad, bioinformatics will intimately involve all three components while computational biology will focus on biology and mathematics.) Due to interest from computer scientists and mathematicians and the popularity of computational techniques in the field of genomics, it is commonly referred to as ''computational biology''; a more accurate term is computational genomics. There are also lesser known but equally important areas of computational [[biochemistry]] and computational [[biophysics]], that are also a part of computational biology. (For working definitions of Bioinformatics and Computational Biology used by [[NIH|National Institutes of Health]] please see [http://www.bisti.nih.gov/CompuBioDef.pdf this link].) A common thread in projects in bioinformatics and computational genomics is the use of mathematical tools to extract useful information from [[noise|noisy]] data produced by high-throughput biological techniques. (The field of [[data mining]] overlaps with computational biology in this regard.) Representative problems in computational biology include the assembly of high-quality [[DNA]] sequences from fragmentary &quot;shotgun&quot; DNA [[sequencing]], and the prediction of [[gene regulation]] with data from [[Messenger RNA|mRNA]] [[DNA microarray|microarray]]s or [[mass spectrometry]]. </p>

<p><strong>==Major research areas==</strong></p>

<p><strong>===Sequence analysis===</strong><br />''Main articles:'' [[Sequence alignment]], [[Sequence database]]</p>