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URL: https://github.com/fritzsedlazeck/Sniffles
Proper Citation: Sniffles (RRID:SCR_017619)
Description: Software tool as structural variation caller using third generation sequencing (PacBio or Oxford Nanopore). It detects all types of SVs (10bp+) using evidence from split-read alignments, high-mismatch regions, and coverage analysis. Used to avoid single molecule long read sequencing high error rates.
Resource Type: data processing software, software application, software resource
Defining Citation: PMID:29713083
Keywords: Structural, variation, caller, third, generation, sequencing, SV, split, read, alignment, mismatch, region, analysis, error, bio.tools
Funding: NHGRI R01 HG006677; NHGRI UM1 HG008898
Availability: Free, Available for download, Freely available
Resource Name: Sniffles
Resource ID: SCR_017619
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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
