Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: http://code.google.com/p/gasv/
Proper Citation: GASV (RRID:SCR_000061)
Description: Software tool for identifying structural variants (SVs) from paired-end sequencing data.GASV distribution includes three components that are typically run in succession: the BAM file of unique paired-read mappings is processed; structural variants are identified by clustering discordant fragments; and a probabilistic algorithm improves the specificity of GASV predictions.
Abbreviations: GASV
Synonyms: Geometric Analysis of Structural Variants
Resource Type: software resource, software application, data processing software, data analysis software
Defining Citation: PMID:19477992
Keywords: paired-end sequencing data, structural variant, probabilistic algorithm, discordant fragment, bio.tools
Expand Allis listed by |
|
is listed by |
|
is listed by |
|
is related to |
|
has parent organization |
We found {{ ctrl2.mentions.all_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for GASV.
No alerts have been found for GASV.
Source: SciCrunch Registry
