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GAIA specifications

Information


Unique identifier OMICS_19281
Name GAIA
Alternative name Genomic Analysis of Important Alterations
Software type Package/Module
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 2.24.0
Stability Stable
Requirements
R(>=2.10)
Maintained Yes

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Versioning


No version available

Documentation


Maintainers


  • person_outline Michele Ceccarelli <>
  • person_outline Luigi Cerulo <>

Additional information


http://www.bioinformatics-sannio.org/software/

Publications for Genomic Analysis of Important Alterations

GAIA citations

 (2)
library_books

Racial differences in endometrial cancer molecular portraits in The Cancer Genome Atlas

2018
PMCID: 5908308
PMID: 29682207
DOI: 10.18632/oncotarget.24907

[…] including gene coding, utr, and promoter region and labelled each with hgvs protein id where available. recurrent scna in the gistic 2.0 scna data was calculated separately for each race using gaia [] by first building a copy number variant (cnv) matrix of regions used by gistic 2.0, less known common cnv (available at ftp://ftp.broadinstitute.org/pub/gistic2.0/hg19_support/). recurrent […]

library_books

Comparative Analysis of Methods for Identifying Recurrent Copy Number Alterations in Cancer

2012
PMCID: 3527554
PMID: 23285074
DOI: 10.1371/journal.pone.0052516

[…] saves a piece of computational time. in addition, the significance for multiple testing is corrected using max-t procedure exactly like stac ., in contrast to other existing methods , , , gaia (genomic analysis of important alterations) incorporates within-sample homogeneity into the “peel-off” procedure under its statistical hypothesis framework: first, individual markers […]


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GAIA institution(s)
Department of Science and Technology, University of Sannio, Benevento, Italy; BioGeM, Institute of Genetic Research “Gaetano Salvatore”, Ariano Irpino (AV) Italy; Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Napoli, Italy
GAIA funding source(s)
Supported by a research project funded by MiUR (Ministero dell’Università e della Ricerca) under grant FIRB2012-RBFR12QW4I.

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