Protocols

ABACUS specifications

Information


Unique identifier OMICS_00297
Name ABACUS
Alternative name Algorithm based on a BivAriate CUmulative Statistic
Software type Package/Module
Interface Command line interface
Restrictions to use Academic or non-commercial use
Output data A list of SNP-sets associated with the disease and, for each SNPset, the list of significant SNPs.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability No
Registration required Yes
Maintained No

Versioning


No version available

Maintainer


This tool is not available anymore.

Publication for Algorithm based on a BivAriate CUmulative Statistic

ABACUS citation

call_split

Multivariate Methods for Genetic Variants Selection and Risk Prediction in Cardiovascular Diseases

2016
PMCID: 4896915
PMID: 27376073
DOI: 10.3389/fcvm.2016.00017
call_split See protocol

[…] ein (HDL) cholesterol level (). Maenner and colleagues () applied RFs to identify SNPs involved in gene-by-smoking interactions related to the early-onset of CHD using the Framingham Heart Study data.ABACUS is an Algorithm based on a BivAriate CUmulative Statistic, which allows identifying combinations of common and rare genetic variants associated with a disease by focusing on predefined SNPs-set […]

ABACUS institution(s)
Department of Information Engineering, University of Padova, Padova, Italy
ABACUS funding source(s)
Supported by European Union’s Seventh Framework Programme (FP7/2007-2013) for the Innovative Medicine Initiative under grant agreement n. IMI/115006 (the SUMMIT consortium).

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