title: TACO produces robust multisample transcriptome assemblies from RNA-seq.
abstract: 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.
authors.affiliation: Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan, USA.|Department of Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan, USA.
authors.forename: Yashar S
authors.initials: YS
authors.lastname: Niknafs
authors.affiliation: Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan, USA.
authors.forename: Balaji
authors.initials: B
authors.lastname: Pandian
authors.affiliation: Department of Statistics, Colorado State University, Fort Collins, Colorado, USA.
authors.forename: Hariharan K
authors.initials: HK
authors.lastname: Iyer
authors.affiliation: Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan, USA.|Department of Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan, USA.|Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.|Howard Hughes Medical Institute, University of Michigan, Ann Arbor, Michigan, USA.|Comprehensive Cancer Center, University of Michigan, Ann Arbor, Michigan, USA.|Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
authors.forename: Arul M
authors.initials: AM
authors.lastname: Chinnaiyan
authors.affiliation: Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan, USA.
authors.forename: Matthew K
authors.initials: MK
authors.lastname: Iyer
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D012984:Software; D059467:Transcriptome / Q000235:genetics*