Comparative assessment of methods for the fusion transcripts detection from RNA-Seq data.

ABSTRACT: RNA-Seq made possible the global identification of fusion transcripts, i.e. "chimeric RNAs". Even though various software packages have been developed to serve this purpose, they behave differently in different datasets provided by different developers. It is important for both users, and developers to have an unbiased assessment of the performance of existing fusion detection tools. Toward this goal, we compared the performance of 12 well-known fusion detection software packages. We evaluated the sensitivity, false discovery rate, computing time, and memory usage of these tools in four different datasets (positive, negative, mixed, and test). We conclude that some tools are better than others in terms of sensitivity, positive prediction value, time consumption and memory usage. We also ob

SUBMITTER: Kumar S 

PROVIDER: S-EPMC4748267 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature