Research Object Crate for ORBiT

# ORBiT A Nextflow workflow for analysing Oxford Nanopore Technologies (ONT) RNAseq direct read sequening (DRS) or cDNA data. This workflow emphasises sensitivity to detect rare and novel features within the data. Multiple aspects of this workflow are tailored to enhance sensitivity: - Alignment to reference genome rather than transcriptome - Multiple tools per analysis type (n = 2 isoforms, n = 3 fusions) - Reads quantification tools capable of detecting novel isoforms, and counting at the isoform level - Inclusion of an ultra-sensitive tool to report gene fusions involving any other genomic sequence, not just gene:gene ## Workflow tools The workflow runs with Nextflow, and uses singularity containers for all tools. Tool versions used in this release and their container file source are listed below. Latest version tools used: - nextflow v 25.10.3 - singulairty v 3.11.3 - [dorado v 1.3.1](https://quay.io/repository/sangerpathogens/cuda_dorado?tab=tags&tag=1.3.1) - [fastplong v 0.4.1](https://quay.io/repository/biocontainers/fastplong:0.4.1--h224cc79_0) - [minimap2 v 2.30](community.wave.seqera.io/library/minimap2_samtools:b09096fc890429c) - [samtools v 1.23.1](https://quay.io/repository/biocontainers/samtools:1.23.1--ha83d96e_0) - [Nanoplot v 1.46.2](https://quay.io/repository/biocontainers/nanoplot:1.46.2--pyhdfd78af_1) - [IsoQuant v 3.12.2](https://quay.io/repository/biocontainers/isoquant:3.12.2--pyh106432d_0) - [Isosceles v 0.2.1](https://zenodo.org/records/10951160/files/isosceles.sif) - [seqkit v 2.13.0](community.wave.seqera.io/library/seqkit:2.13.0--05c0a96bf9fb2751) - [JAFFALv 2.5](davidsongroup/jaffa:2.5) - [CTAT-LR-Fusion v 1.40](https://hub.docker.com/layers/trinityctat/ctat_lr_fusion/1.4.0/images/sha256-1cca5fc03bcee40650ff5d22458bafa99bd9af335fcf0a0e9c70b39cfc0b5e53) - [GIFFL v 1.0.1](https://github.com/Sydney-Informatics-Hub/GIFFL/releases/download/1.0.1/giffl_1.0.1.sif) ## Help / FAQ / Troubleshooting Please submit an [issue](https://github.com/Sydney-Informatics-Hub/ORBiT/issues/new/choose) for any bug reports, feature requests, or questions. ## Acknowledgements/citations/credits Acknowledgements (and co-authorship, where appropriate) are an important way for us to demonstrate the value we bring to your research. Your research outcomes are vital for ongoing funding of the Sydney Informatics Hub and national compute facilities. ### Authors - Cali Willet (Sydney Informatics Hub, University of Sydney) - Amarinder Thind (Sydney Informatics Hub, University of Sydney) - Mitchell O'Brien (Sydney Informatics Hub, University of Sydney) - Michael Geaghan (Sydney Informatics Hub, University of Sydney) - Madison Gonebale (Northcott Neuroscience Laboratory, ANZAC Research Institute) - Marina Kennerson (Northcott Neuroscience Laboratory, ANZAC Research Institute) ### Acknowledgements - This pipeline was developed and tested using data provided by the Northcott Neuroscience Laboratory, ANZAC Research Institute - This pipeline was built using [template-nf](https://github.com/Sydney-Informatics-Hub/template-nf) - Documentation was created following [Australian BioCommons' workflow documentation guidelines](https://github.com/AustralianBioCommons/doc_guidelines) ### Suggested acknowledgement Acknowledgements (and co-authorship, where appropriate) are an important way for us to demonstrate the value we bring to your research. Your research outcomes are vital for ongoing funding of the Sydney Informatics Hub and national compute facilities. We suggest including the following acknowledgement in any publications that follow from this work: *The authors acknowledge the support provided by the Sydney Informatics Hub, a Core Research Facility of the University of Sydney. This research/project was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government, and Australian BioCommons which is enabled by NCRIS via Bioplatforms Australia funding.*

Author

Cali Willet

License

GPL-3.0

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