13059_2021_2296_MOESM1_ESM.pdf (1.25 MB)
Additional file 1 of 2passtools: two-pass alignment using machine-learning-filtered splice junctions increases the accuracy of intron detection in long-read RNA sequencing
journal contribution
posted on 2021-03-02, 11:09 authored by Matthew T. Parker, Katarzyna Knop, Geoffrey J. Barton, Gordon G. SimpsonAdditional file 1: Fig. S1. Simulation of nanopore DRS read alignments. Fig. S2. Annotation-guided alignment improves spliced alignment of simulated reads. Fig. S3. Junction metrics can identify genuine splice junctions. Fig. S4. Machine-learned sequence information can identify genuine splice junctions. Fig. S5. Filtered two-pass alignment improves the identification and quantification of correct transcripts without a reference annotation. Fig. S6. Filtered two-pass alignment improves genome-guided annotation.
Funding
University of Dundee Global Challenges Research Fund Biotechnology and Biological Sciences Research Council H2020 Marie Skłodowska-Curie Actions
History
Usage metrics
Categories
Keywords
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC