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

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 source of a...

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Detalles Bibliográficos
Autores principales: Mangul, Serghei, Yang, Harry Taegyun, Strauli, Nicolas, Gruhl, Franziska, Porath, Hagit T., Hsieh, Kevin, Chen, Linus, Daley, Timothy, Christenson, Stephanie, Wesolowska-Andersen, Agata, Spreafico, Roberto, Rios, Cydney, Eng, Celeste, Smith, Andrew D., Hernandez, Ryan D., Ophoff, Roel A., Santana, Jose Rodriguez, Levanon, Erez Y., Woodruff, Prescott G., Burchard, Esteban, Seibold, Max A., Shifman, Sagiv, Eskin, Eleazar, Zaitlen, Noah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5857127/
https://www.ncbi.nlm.nih.gov/pubmed/29548336
http://dx.doi.org/10.1186/s13059-018-1403-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5857127/
https://www.ncbi.nlm.nih.gov/pubmed/29548336
http://dx.doi.org/10.1186/s13059-018-1403-7

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