A workflow designed to identify transcriptional structural rearrangements such as gene fusions, viral integration sites and gene truncations as well as alternative splicing events due to intron retention, exon skipping and alternative use of splicing sites. This versatile workflow can be used for the analysis of any species with a published reference transcriptome (human, mouse, yeast, etc). All the steps in the pipeline are based on open source reference bioinformatics tools, considered as standards for RNA-Seq Structural alteration analysis.
FastQC: Quality controls of reads
STAR-Fusion: Identify fusion transcripts
Arriba: Identify structural rearrangements
QualiMap2: Quality controls for read alignments
karyoploteR: Read distribution ideograms
asgal: Detect transcriptional alternative events
DEXSeq: Differential exon usage
SPLICE-q: Splicing efficiency quantification
All results are integrated in a single interactive report with tables and plots for each step performed by the pipeline.
Average per sample
Average per study
BatchX offers a serverless infrastructure for running bioinformatics analyses as a fully managed service. With the click of a button, off-load all your complex processing requirements to the cloud in a cost-effective, secure, and scalable way.
Our RNA-Seq pipeline gives you the flexibility to customize it to suit your needs. It's super easy to change any parameter and re-run the analysis with the click of a button.
Our no code environment gives you the freedom you need to run the RNA-Seq pipeline with zero coding required. Share your results with collaborators in a secure and private manner.
Get instant assistance for any issue from our extended and experienced bioinformatics team through dedicated slack channels, emails, or conference calls.
BatchX has provided me with the autonomy I needed. I can now easily and rapidly perform analysis and review results. I know I can rely on their bioinformatics expertise when I need to. I feel I’m now more in control of my research studies.
We were yearning for independence and shorter turnaround times. With BatchX we can decide when and how we perform our bioinformatics analysis and have our results instantly. Thank you, guys, for the support and for the platform! I now feel I have bioinformatics super powers!
Montse’s investigation revolves around a topic that is intriguing and exciting: Aging. She has dedicated her postdoctoral efforts to study the process of aging, the factors that promote premature senescence as well as the mechanisms that may increase...