ROP

Read Origin Protocol (ROP) assigns origins to mapped and unmapped RNA-seq reads to characterize complex RNA molecules and transcriptomic components.


Key Features:

  • Comprehensive Read Origin Assignment: Identifies sources of mapped and unmapped RNA-seq reads, enabling characterization of diverse RNA species and previously unannotated transcripts.
  • Large-Scale Processing Capability: Processes up to one trillion reads and accounts for 99.9% of reads across datasets spanning 2630 individuals and 54 human tissues.

Scientific Applications:

  • Transcriptomic Complexity and Host–Microbiome Analysis: Supports discovery of novel transcripts, alternative splicing events, and interactions linking the immune system, microbiome, and disease states.

Methodology:

ROP implements a multi-step RNA-seq analysis pipeline that systematically reanalyzes unmapped and mapped reads using sequential alignment and classification strategies to assign read origins and maximize transcriptome coverage.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
Python
Added:
8/15/2018
Last Updated:
11/25/2024

Operations

Publications

Mangul S, Yang HT, Strauli N, Gruhl F, Porath HT, Hsieh K, Chen L, Daley T, Christenson S, Wesolowska-Andersen A, Spreafico R, Rios C, Eng C, Smith AD, Hernandez RD, Ophoff RA, Santana JR, Levanon EY, Woodruff PG, Burchard E, Seibold MA, Shifman S, Eskin E, Zaitlen N. ROP: dumpster diving in RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues. Genome Biology. 2018;19(1). doi:10.1186/s13059-018-1403-7. PMID:29548336. PMCID:PMC5857127.

Documentation