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URL: http://compbio.cs.brown.edu/projects/gasv/
Proper Citation: GASVPro (RRID:SCR_005259)
Description: Software tool combining both paired read and read depth signals into probabilistic model which can analyze multiple alignments of reads. Used to find structural variation in both normal and cancer genomes using data from variety of next-generation sequencing platforms. Used to predict structural variants directly from aligned reads in SAM/BAM format.Combines read depth information along with discordant paired read mappings into single probabilistic model two common signals of structural variation. When multiple alignments of read are given, GASVPro utilizes Markov Chain Monte Carlo procedure to sample over the space of possible alignments.
Abbreviations: GASVPro
Synonyms: GASVPro: Geometric Analysis of Structural Variants
Resource Type: data analysis software, data processing software, sequence analysis software, software application, software resource
Defining Citation: PMID:22452995
Keywords: structural variation, genome, genomics, alignment, sequencing, variant, variation, detection, dna, paired, end, read, sequence
Funding: Burroughs Wellcome Career Award at the Scientific Interface ; NHGRI R01 HG5690
Availability: Free, Available for download, Freely available
Resource Name: GASVPro
Resource ID: SCR_005259
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
