SMRT-SV 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 Indel detection Inversion detection chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

SMRT-SV specifications

Information


Unique identifier OMICS_19915
Name SMRT-SV
Alternative name SMRT-WGS
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++, Perl, Python
License MIT License
Computer skills Advanced
Stability Stable
Maintained Yes

Download


Versioning


Add your version

Documentation


Maintainer


  • person_outline Evan Eichler <>

Publication for SMRT-SV

SMRT-SV in publications

 (3)
PMCID: 5829575
PMID: 29272440
DOI: 10.1093/nar/gkx1266

[…] in combination with short reads (), to investigate structural variation. the present tools for structural variant calling solely from long read data focus on insertions, deletions, and inversions (smrt-sv ()) and additionally translocations (multibreaks-sv () and pbhoney ())., in this study, we describe a method for finding arbitrarily-complex ‘local’ rearrangements, i.e. intrachromosomal […]

PMCID: 5870608
PMID: 28881988
DOI: 10.1093/bioinformatics/btx254

[…] experiments. first, we applied pamir on a high coverage wgs dataset generated from a single haploid sample (chm1) () and compared our results with novel insertions found in the same genome with the smrt-sv algorithm that uses long read, i.e. pacific biosciences, sequencing technology. finally, we evaluated pamir ’s performance in multi-sample insertion discovery and genotyping using 10 […]

PMCID: 4988886
PMID: 27487209
DOI: 10.1038/nature19075

[…] as well as the simons vip consortium. approved researchers can obtain the simons vip dataset, the ssc dataset, and/or biospecimens by applying at https://base.sfari.org. we thank m. chaisson for smrt wgs data, b. vernot for archaic introgression data, b.j. nelson and k. munson for technical assistance, m.l. gage for editorial comments, and t. brown for assistance with manuscript preparation. […]


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

SMRT-SV institution(s)
Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA; Dipartimento di Biologia, Universita degli Studi di Bari “Aldo Moro”, Bari, Italy; Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA; Pacific Biosciences of California, Inc., Menlo Park, CA, USA
SMRT-SV funding source(s)
Supported, in part, by U.S. National Institutes of Health (NIH) grant HG002385, the U.S. National Institute of Neurological Disorders and Stroke (award K99NS083627) and by the Howard Hughes Medical Institute.

SMRT-SV reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review SMRT-SV