SiNVICT 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 SNV detection Indel detection Low-frequency SNV detection chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

SiNVICT specifications

Information


Unique identifier OMICS_12625
Name SiNVICT
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input format FASTQ, BAM
Operating system Unix/Linux
Programming languages C++
Computer skills Advanced
Version 1.0
Stability Stable
Requirements
g++, Boost
Maintained Yes

Download


Versioning


Add your version

Documentation


Maintainer


  • person_outline S. Cenk Sahilp <>

Publication for SiNVICT

SiNVICT in publications

 (2)
PMCID: 5852328
PMID: 29552334
DOI: 10.1016/j.csbj.2018.01.003

[…] (). in addition, several algorithms are dedicated to perform single-sample variant calling. these algorithms include snvmix2, shearwater, splinter, snver, outlyzer, pisces, isown, somvarius, and sinvict , , , , , , , , and fall into two categories., snvmix2, shearwater, splinter, snver, outlyzer, and pisces report all variants without distinguishing somatic and germline. snvmix2’s, like […]

PMCID: 5209852
PMID: 28049408
DOI: 10.1186/s12859-016-1417-7

[…] based on kidney tumor data, we compared the performance of nine state-of-the-art variant callers, namely deepsnv, gatk haplotypecaller, gatk unifiedgenotyper, jointsnvmix2, mutect, samtools, sinvict, somaticsniper, and varscan2. the comparison was done as a function of variant allele frequencies and coverage. our analysis revealed that deepsnv and jointsnvmix2 perform very well, […]


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

SiNVICT institution(s)
School of Computing Science, Simon Fraser University, Burnaby, BC, Canada; MADD-Gen Graduate Program, Simon Fraser University, Burnaby, BC, Canada; School of Informatics and Computing, Indiana University, Bloomington, IN, USA; Vancouver Prostate Centre, Vancouver, BC, Canada; Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada; School of Informatics and Computing, Indiana University, Bloomington, IN, USA
SiNVICT funding source(s)
Supported by NSERC Create MADD-Gen Training programme, NSERC Discovery Frontiers grant on ‘Cancer Genome Collaboratory’, Genome Canada and Canadian Cancer Society Research Institute Innovation grants, Terry Fox Research Institute New Frontiers Program (grant no. TFF116129), Canadian Cancer Society (grant no. 702837) and Prostate Cancer Canada (grant no. D2014-13) and in part by the Movember Foundation.

SiNVICT reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review SiNVICT