GAIA statistics

info info

Citations per year


Popular tool citations

chevron_left Somatic CNA detection chevron_right

Tool usage distribution map

Tool usage distribution map
info info

Associated diseases

Associated diseases
Want to access the full stats & trends on this tool?

GAIA specifications


Unique identifier OMICS_19281
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
Maintained Yes




No version available



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

Additional information

Publications for Genomic Analysis of Important Alterations

GAIA citations


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

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 recurrent […]


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

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 […]

Want to access the full list of citations?
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.

GAIA reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review GAIA