how are we stranded here: Quick determination of RNA-Seq strandedness
The paper introduces a Python library to quickly determine the strandedness of paired-end RNA-Seq data, improving the accuracy of downstream analyses.
Author
Garvan Institute of Medical ResearchORCID 0000-0002-6839-2392Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
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The paper introduces a Python library to quickly determine the strandedness of paired-end RNA-Seq data, improving the accuracy of downstream analyses.
Borf improves ORF prediction in de-novo transcriptomes by addressing strand specificity and start site selection, reducing false positives and improving accuracy.
Brian Gloss, Bethany Signal, Seth W. Cheetham…·Marcel E. Dinger
This study investigates gene expression dynamics in mouse embryonic stem cells at high temporal resolution, revealing new insights into transcriptional regulation and noncoding RNA roles.
Bethany Signal, Brian Gloss, Marcel E. Dinger, Tim R. Mercer
The paper develops a machine-learning algorithm to annotate human splicing branchpoints from genome sequence, identifying 85% of annotated introns and confirming deleterious mutations.