title: Consequential considerations when mapping tRNA fragments.
abstract: We examine several of the choices that went into the design of tDRmapper, a recently reported tool for identifying transfer RNA (tRNA) fragments in deep sequencing data, evaluate them in the context of currently available knowledge, and discuss their potential impact on the output that the tool generates.
authors.affiliation: Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA, 19107, USA.
authors.forename: Aristeidis G
authors.initials: AG
authors.lastname: Telonis
authors.affiliation: Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA, 19107, USA.
authors.forename: Phillipe
authors.initials: P
authors.lastname: Loher
authors.affiliation: Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA, 19107, USA.
authors.forename: Yohei
authors.initials: Y
authors.lastname: Kirino
authors.affiliation: Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA, 19107, USA. isidore.rigoutsos@jefferson.edu.
authors.forename: Isidore
authors.initials: I
authors.lastname: Rigoutsos
mesh_terms: D030561:Databases, Nucleic Acid; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D058977:Molecular Sequence Annotation; D012343:RNA, Transfer / Q000737:chemistry / Q000235:genetics*
chemical_list: D012343:RNA, Transfer