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RNAquarium

Pre-processing pipeline for Species-scale RNAseq from the NCBI Sequence Read Archive (SRA)

RNAquarium is a Nextflow (DSL2) pipeline for reprocessing public RNAseq datasets at species scale. Starting from raw SRA runs, it filters host reads and produces gene counts and non-host reads (Part I), then assembles and taxonomically classifies the remaining non-host content (Part II).

RNAquarium enables:

  • Retrieving and quality-filtering RNAseq runs directly from the SRA
  • Filtering host reads by repeated alignment to a host genome — for zebrafish, retaining ~0.7% of input reads (~11 billion of 1.64 trillion across 77,188 runs) as "possible nonhost"
  • Producing per-dataset gene counts tables
  • Assembling and taxonomically classifying non-host reads, including viruses (Part II: metatranscriptomics)

Overview of the workflow

RNAquarium pipeline overview illustration

Explore the data

Explore, visualize, and interact with RNAquarium project data — including via a chatbot — at the RNAquarium Portal.

Installation and Usage

Please refer to the documentation for full installation, parameters, and pipeline reference.

Part I — Transcriptomic + Filtering

Part II — Metatranscriptomics

For test-running RNAquarium on a SLURM cluster with a tiny, fully reproducible two-sample zebrafish example refer to the walkthrough.

Authors and maintainers

RNAquarium is developed and maintained by the Computational Biology Platform & Balla Group at the Biohub.

  • Research Lead Team: Keir Balla, Duo Peng, Yasin Şenbabaoğlu
  • Bioinformatics Team: Yttria Aniseia, Eric Waltari, Max Frank, Gibraan Rahman, Andy Zhou, Yang-Joon Kim, Hejin Huang
  • Web Development Team: Leandro Lima, Wellington Rutes

Code of Conduct

This project follows the Code of Conduct. By participating, you are expected to uphold it.

License

RNAquarium is released under the BSD 3-Clause License. Copyright (c) Biohub.

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Nextflow pipeline for processing entire species-level RNAseq datasets and non-host abundance quantification

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