Birta specifications

Information


Unique identifier OMICS_27457
Name Birta
Alternative name Bayesian inference of regulation of transcriptional activity
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.24.0
Stability Stable
Requirements
limma, methods, Biobase, R(>=2.10), MASS
Maintained Yes

Versioning


No version available

Documentation


Maintainers


  • person_outline Holger Fröhlich
  • person_outline Benedikt Zacher

Publication for Bayesian inference of regulation of transcriptional activity

Birta citations

 (2)
library_books

Discovering MicroRNA Regulatory Modules in Multi Dimensional Cancer Genomic Data: A Survey of Computational Methods

2016
Cancer Inform
PMCID: 5051584
PMID: 27721651
DOI: 10.4137/CIN.S39369

[…] nes of 11 of the 12 miRs directly associated with relapse-free survival times. This method named Bayesian influence of regulation of transcriptional activity is freely available through the R package birta on Bioconductor at https://www.bioconductor.org/packages/release/bioc/html/birta.html.These BN methods represent examples of transformation-based (intermediate) integration., While the methods d […]

library_books

R Based Software for the Integration of Pathway Data into Bioinformatic Algorithms

2014
Biology
PMCID: 4009765
PMID: 24833336
DOI: 10.3390/biology3010085

[…] ferent approaches have been published and were implemented as R packages. Several of these can be enhanced in their performance by integrating graphs as prior knowledge, for example NEM [], DDEPN [], birta [] and BoolNet []. On the other hand, packages offering access to SBML-encoded data, which is focused on describing quantitative models and enable direct integration with solvers for ordinary di […]

Birta institution(s)
Ludwig-Maximilians-Universität München, Gene Center Munich and Center for integrated Protein Science CiPSM, Department of Chemistry and Biochemistry, Munich, Germany; Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn-Aachen International Center for IT, Algorithmic Bioinformatics, Bonn, Germany; German Cancer Research Center and NCT Heidelberg, Cancer Genome Research, Heidelberg, Germany; Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn-Aachen International Center for IT, Applied Life Science Informatics, Bonn, Germany; Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, Germany
Birta funding source(s)
Supported by the NRW/EU funded “Alma insilico” project, by the LMU excellent guest professorship “Computational Biochemistry” and the Deutsche Forschungsgemeinschaft, SFB 646.

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