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GenAMap specifications

Information


Unique identifier OMICS_04404
Name GenAMap
Software type Package/Module
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Medium
Version 3.0
Stability Stable
Maintained Yes

Versioning


No version available

Publication for GenAMap

GenAMap citations

 (3)
library_books

Improved drug therapy: triangulating phenomics with genomics and metabolomics

2014
Hum Genomics
PMCID: 4445687
PMID: 25181945
DOI: 10.1186/s40246-014-0016-9

[…] . This argues for simplification of the model variables at points distant from the phenotypic outcome, as well as elimination of factors that contribute only marginally. New software systems, such as GenAMAP have been developed specifically for this purpose. GenAMAP allows for integration of genomics, transcriptomics, and phenomics data accounting for differences in dataset structure when one uses […]

library_books

Structured association analysis leads to insight into Saccharomyces cerevisiae gene regulation by finding multiple contributing eQTL hotspots associated with functional gene modules

2013
BMC Genomics
PMCID: 3616858
PMID: 23514438
DOI: 10.1186/1471-2164-14-196

[…] We developed a software platform called GenAMap [,] that implements the full analysis pipeline of structured genome-phenome association analysis and provides tools to visualize the results from the analysis. The GFlasso analysis pipeline th […]

library_books

Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system

2012
BMC Genet
PMCID: 3342145
PMID: 22471660
DOI: 10.1186/1471-2156-13-24

[…] Kim for her input in the design of the GFlasso processing pipeline and Dr. Andrew Wei Xu, Harvard Medical School, for his help to incorporate the proximal gradient method optimization of GFlasso into GenAMap. […]

Citations

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GenAMap institution(s)
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA; Joint Carnegie Mellon - University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA

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