title: miRquant 2.0: an Expanded Tool for Accurate Annotation and Quantification of MicroRNAs and their isomiRs from Small RNA-Sequencing Data.
abstract: Small non-coding RNAs, in particular microRNAs, are critical for normal physiology and are candidate biomarkers, regulators, and therapeutic targets for a wide variety of diseases. There is an ever-growing interest in the comprehensive and accurate annotation of microRNAs across diverse cell types, conditions, species, and disease states. Highthroughput sequencing technology has emerged as the method of choice for profiling microRNAs. Specialized bioinformatic strategies are required to mine as much meaningful information as possible from the sequencing data to provide a comprehensive view of the microRNA landscape. Here we present miRquant 2.0, an expanded bioinformatics tool for accurate annotation and quantification of microRNAs and their isoforms (termed isomiRs) from small RNA-sequencing data. We anticipate that miRquant 2.0 will be useful for researchers interested not only in quantifying known microRNAs but also mining the rich well of additional information embedded in small RNA-sequencing data.
authors.forename: Matthew
authors.initials: M
authors.lastname: Kanke
authors.forename: Jeanette
authors.initials: J
authors.lastname: Baran-Gale
authors.forename: Jonathan
authors.initials: J
authors.lastname: Villanueva
authors.forename: Praveen
authors.initials: P
authors.lastname: Sethupathy
mesh_terms: D030541:Databases, Genetic; D035683:MicroRNAs / Q000235:genetics* / Q000378:metabolism; D058977:Molecular Sequence Annotation; D017423:Sequence Analysis, RNA / Q000379:methods*; D012984:Software
chemical_list: D035683:MicroRNAs