TACO produces robust multisample transcriptome assemblies from RNA-seq.

Authors: Niknafs, Yashar S and Pandian, Balaji and Iyer, Hariharan K and Chinnaiyan, Arul M and Iyer, Matthew K

Accurate transcript structure and abundance inference from RNA sequencing (RNA-seq) data is foundational for molecular discovery. Here we present TACO, a computational method to reconstruct a consensus transcriptome from multiple RNA-seq data sets. TACO employs novel change-point detection to demarcate transcript start and end sites, leading to improved reconstruction accuracy compared with other tools in its class. The tool is available at http://tacorna.github.io and can be readily incorporated into RNA-seq analysis workflows.

Journal: Nature methods
DOI: 10.1038/nmeth.4078
Year: 2017

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