Introduction

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.

Publications

  1. TACO produces robust multisample transcriptome assemblies from RNA-seq.
    Cite this
    Niknafs YS, Pandian B, Iyer HK, Chinnaiyan AM, Iyer MK, 2017-01-01 - Nature methods

Credits

  1. Yashar S Niknafs
    Developer

    Department of Cellular and Molecular Biology, University of Michigan, United States of America

  2. Balaji Pandian
    Developer

    Michigan Center for Translational Pathology, University of Michigan, United States of America

  3. Hariharan K Iyer
    Developer

    Department of Statistics, Colorado State University, United States of America

  4. Arul M Chinnaiyan
    Developer

    Department of Urology, University of Michigan, United States of America

  5. Matthew K Iyer
    Investigator

    Michigan Center for Translational Pathology, University of Michigan, United States of America

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Summary
AccessionBT005820
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesC++
User InterfaceTerminal Command Line
Download Count0
Country/RegionUnited States of America
Submitted ByMatthew K Iyer