Triform specifications

Information


Unique identifier OMICS_17642
Name Triform
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 0.99.2
Stability Stable
Requirements
IRanges, YAML
Source code URL http://tare.medisin.ntnu.no/triform/downloads/triform_0.99.2.tar.gz
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Finn Drablos

Publication for Triform

Triform citation

library_books

Identifying peaks in * seq data using shape information

2016
BMC Bioinformatics
PMCID: 4905608
PMID: 27295177
DOI: 10.1186/s12859-016-1042-5

[…] mér-von Mises test (Qeseq []) have been 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 […]

Triform institution(s)
Division of Sensory Biophysics, Ohio State University, Columbus, OH, USA; Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Triform funding source(s)
Supported by the FUGE project of the Research Council of Norway through FUGE Bioinformatics [183438/S10] and by internal FUGE funding at NTNU.

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