SignalSpider statistics

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SignalSpider specifications

Information


Unique identifier OMICS_05469
Name SignalSpider
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Biological technology Illumina, Life Technologies, Pacific Biosciences, Roche
Operating system Unix/Linux, Windows
Programming languages MATLAB
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Zhaolei Zhang <>

Publication for SignalSpider

SignalSpider in publication

PMCID: 4905608
PMID: 27295177
DOI: 10.1186/s12859-016-1042-5

[…] used. other approaches include clustering approach (sicer []), hidden markov models (chipdiff [], rseg []), tree shape statistics (tpic []), shape recognition (triform []) and probabilistic models (signalspider [])., from a computational viewpoint, the main lessons learned from the current generation of peak calling algorithms can be summarised as follows: the success of peak calling depends […]


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SignalSpider institution(s)
Department of Computer Science and Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada; CEMSE Division, King Abdullah University of Science and Technology, Jeddah, Saudi Arabia; Banting and Best Department of Medical, Toronto, ON, Canada; Research and Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
SignalSpider funding source(s)
Supported by Discovery Grant from Natural Sciences and Engineering Research Council, Canada (NSERC) grant number [327612-2009 RGPIN], Acres Inc. – Joseph Yonan Memorial Fellowship, Kwok Sau Po Scholarship, and International Research and Teaching Assistantship from University of Toronto.

SignalSpider review

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Anonymous user #1046

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This tool is very useful to interpret the complex behavior of gene regulation from multiple ChIP-seq datasets.