Rail-RNA statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Spliced read alignment chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

Rail-RNA specifications

Information


Unique identifier OMICS_08443
Name Rail-RNA
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Parallelization MapReduce, MPI
License GNU General Public License version 2.0
Computer skills Advanced
Stability Stable
High performance computing Yes
Maintained Yes

Versioning


Add your version

Documentation


Publication for Rail-RNA

Rail-RNA in publication

PMCID: 5203714
PMID: 28038678
DOI: 10.1186/s13059-016-1118-6

[…] in publicly available rna-seq datasets is missed by annotation, we aligned 21,504 illumina-sequenced human rna-seq samples from the sequence read archive (sra) to the hg19 genome assembly with rail-rna [] and compared exon-exon junction calls to exon-exon junctions from annotated transcripts. we compared exon-exon junctions rather than full transcripts because junction calls from short […]


To access a full list of publications, you will need to upgrade to our premium service.

Rail-RNA institution(s)
Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Undergraduate Program on Genomic Sciences, National Autonomous University of Mexico, Mexico City, Mexico; Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
Rail-RNA funding source(s)
NIH/NIGMS grant 1R01GM105705; a seed grant from the Institute for Data Intensive Engineering and Science (IDIES) at Johns Hopkins University; Consejo Nacional de Ciencia y Tecnología México 351535; a Sloan Research Fellowship; Fundación UNAM; National Science Foundation grant IIS-1349906.

Rail-RNA reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review Rail-RNA