Cloud computing method greatly increases gene analysis

Researchers at the Johns Hopkins Bloomberg School of Public Health have developed new software that greatly improves the speed at which scientists can analyze RNA sequencing data. RNA sequencing is used to compare differences in gene expression to identify those genes that switched on or off when, for instance, a particular disease is present. However, sequencing instruments can produce billions of sequences per day, which can be time-consuming and costly to analyze.

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