Computational Genomics

Track 9 : Computational Genomics

Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, including both DNA and RNA sequence as well as other "post-genomic" data. This computational genomics is also known as Computational Genetics. These, in combination with computational and statistical approaches to understanding the function of the genes and statistical association analysis, this field is also often referred to as Computational and Statistical Genetics/genomics. As such, computational genomics may be regarded as a subset of bioinformatics and computational biology, but with a focus on using whole genomes rather than individual genes to understand the principles of how the DNA of a species controls its biology at the molecular level and beyond. With the current abundance of massive biological datasets, computational studies have become one of the most important means to biological discovery. The field is defined and includes foundations in the computer sciences, applied mathematics, animation, biochemistry, chemistry, biophysics, molecular geneticsneuroscience and visualization. Computational biology is different from biological computation, which is a subfield of computer engineering using bioengineering and biology to build computers, but is similar to bioinformatics.

  • a. Computational biomodeling b. Computational neuroscience c. Computational pharmacology d. Computational evolutionary biology e. Cancer computational biology

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Computational Genomics Conference Speakers

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