ROP: dumpster diving in RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues

ROP: dumpster diving in RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues

Abstract High-throughput RNA-sequencing (RNA-seq) technologies provide an unprecedented opportunity to explore the individual transcriptome. Unmapped reads are a large and often overlooked output of standard RNA-seq analyses. Here, we present Read Origin Protocol (ROP), a tool for discovering the so...

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Bibliographic Details
Main Authors: Serghei Mangul, Harry Taegyun Yang, Nicolas Strauli, Franziska Gruhl, Hagit T. Porath, Kevin Hsieh, Linus Chen, Timothy Daley, Stephanie Christenson, Agata Wesolowska-Andersen, Roberto Spreafico, Cydney Rios, Celeste Eng, Andrew D. Smith, Ryan D. Hernandez, Roel A. Ophoff, Jose Rodriguez Santana, Erez Y. Levanon, Prescott G. Woodruff, Esteban Burchard, Max A. Seibold, Sagiv Shifman, Eleazar Eskin, Noah Zaitlen
Format: Article
Language:English
Published: BMC 2018-02-01
Series:Genome Biology
Online Access:http://link.springer.com/article/10.1186/s13059-018-1403-7

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http://link.springer.com/article/10.1186/s13059-018-1403-7

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