Our manuscript describing Rail-RNA, a cloud-enabled spliced aligner designed to analyze many samples at once, appeared in the journal Bioinformatics today. Rail-RNA eliminates redundant work across samples, making it more efficient as samples are added. For many samples, Rail-RNA is more accurate than annotation-assisted aligners. Rail-RNA is the basis for the Intropolis and ReCount projects, among others. Congrats to Abhi Nellore and our co-authors!
Rail-RNA software is available here: https://rail.bio
GitHub repo is here: https://github.com/nellore/rail
Experiments for the Rail-RNA paper are described here: https://github.com/nellore/rail/tree/master/eval